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https://github.com/eric-erki/awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.
https://github.com/eric-erki/awesome-decision-tree-papers
List: awesome-decision-tree-papers
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A collection of research papers on decision, classification and regression trees with implementations.
Host: GitHub
URL: https://github.com/eric-erki/awesome-decision-tree-papers
Owner: eric-erki
License: cc0-1.0
Created: 2020-02-02T12:49:59.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2020-02-02T12:50:23.000Z (almost 5 years ago)
Last Synced: 2024-04-22T01:55:29.579Z (8 months ago)
Language: Python
Size: 160 KB
Stars: 0
Watchers: 3
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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ultimate-awesome - awesome-decision-tree-papers - A collection of research papers on decision, classification and regression trees with implementations. (Other Lists / PowerShell Lists)
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        # Awesome Decision Tree Research Papers

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A curated list of decision, classification and regression tree research papers with implementations from the following conferences:

- Machine learning

   * [NeurIPS](https://nips.cc/) 

   * [ICML](https://icml.cc/) 

   * [ICLR](https://iclr.cc/)

- Computer vision

   * [CVPR](http://cvpr2019.thecvf.com/)

   * [ICCV](http://iccv2019.thecvf.com/)

   * [ECCV](https://eccv2018.org/)

- Natural language processing

   * [ACL](http://www.acl2019.org/EN/index.xhtml)

   * [NAACL](https://naacl2019.org/)

   * [EMNLP](https://www.emnlp-ijcnlp2019.org/) 

- Data

   * [KDD](https://www.kdd.org/)

   * [CIKM](http://www.cikmconference.org/)   

   * [ICDM](http://icdm2019.bigke.org/)

   * [SDM](https://www.siam.org/Conferences/CM/Conference/sdm19)   

   * [PAKDD](http://pakdd2019.medmeeting.org)

   * [PKDD/ECML](http://ecmlpkdd2019.org)

   * [SIGIR](https://sigir.org/)

   * [WWW](https://www2019.thewebconf.org/)

   * [WSDM](www.wsdm-conference.org) 

- Artificial intelligence

   * [AAAI](https://www.aaai.org/)

   * [AISTATS](https://www.aistats.org/)

   * [ICANN](https://e-nns.org/icann2019/)   

   * [IJCAI](https://www.ijcai.org/)

   * [UAI](http://www.auai.org/)

Similar collections about [graph classification](https://github.com/benedekrozemberczki/awesome-graph-classification), [gradient boosting](https://github.com/benedekrozemberczki/awesome-gradient-boosting-papers), [fraud detection](https://github.com/benedekrozemberczki/awesome-fraud-detection-papers), [Monte Carlo tree search](https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers), and [community detection](https://github.com/benedekrozemberczki/awesome-community-detection) papers with implementations.

## 2019

- **Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System (AAAI 2019)**

  - Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

  - [[Paper]](https://arxiv.org/pdf/1805.09484.pdf)

  

- **Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME (AAAI 2019)**

  - Farhad Shakerin, Gopal Gupta

  - [[Paper]](https://arxiv.org/abs/1808.00629)

  

- **Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (AAAI 2019)**

  - Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos

  - [[Paper]](https://arxiv.org/abs/1903.10598)

- **Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals (AAAI 2019)**

  - Kacper Sokol, Peter A. Flach

  - [[Paper]](https://aaai.org/ojs/index.php/AAAI/article/view/5154)

  

- **Weighted Oblique Decision Trees (AAAI 2019)**

  - Bin-Bin Yang, Song-Qing Shen, Wei Gao

  - [[Paper]](https://aaai.org/ojs/index.php/AAAI/article/view/4505)

- **Learning Optimal Classification Trees Using a Binary Linear Program Formulation (AAAI 2019)**

  - Sicco Verwer, Yingqian Zhang

  - [[Paper]](https://yingqianzhang.net/wp-content/uploads/2018/12/VerwerZhangAAAI-final.pdf)

- **Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees (AAAI 2019)**

  - Pooya Tavallali, Peyman Tavallali, Mukesh Singhal

  - [[Paper]](https://aaai.org/ojs/index.php/AAAI/article/view/4447/4325)

- **XBART: Accelerated Bayesian Additive Regression Trees (AISTATS 2019)**

  - Jingyu He, Saar Yalov, P. Richard Hahn

  - [[Paper]](https://arxiv.org/abs/1810.02215)

- **Interaction Detection with Bayesian Decision Tree Ensembles (AISTATS 2019)**

  - Junliang Du, Antonio R. Linero

  - [[Paper]](https://arxiv.org/abs/1809.08524)

  

- **Adversarial Training of Gradient-Boosted Decision Trees (CIKM 2019)**

  - Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei

  - [[Paper]](https://www.dais.unive.it/~calzavara/papers/cikm19.pdf)

- **Interpretable MTL from Heterogeneous Domains using Boosted Tree (CIKM 2019)**

  - Ya-Lin Zhang, Longfei Li

  - [[Paper]](https://dl.acm.org/citation.cfm?id=3357384.3358072)

- **Interpreting CNNs via Decision Trees (CVPR 2019)**

  - Quanshi Zhang, Yu Yang, Haotian Ma, Ying Nian Wu

  - [[Paper]](https://arxiv.org/abs/1802.00121)

  

- **Incorporating Grouping Information into Bayesian Decision Tree Ensembles (ICML 2019)**

  - Junliang Du, Antonio R. Linero

  - [[Paper]](http://proceedings.mlr.press/v97/du19d.html)

- **Adaptive Neural Trees (ICML 2019)**

  - Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori

  - [[Paper]](https://arxiv.org/abs/1807.06699)

  - [[Code]](https://github.com/rtanno21609/AdaptiveNeuralTrees)

- **Robust Decision Trees Against Adversarial Examples (ICML 2019)**

  - Hongge Chen, Huan Zhang, Duane S. Boning, Cho-Jui Hsieh

  - [[Paper]](https://arxiv.org/abs/1902.10660)

  - [[Code]](https://github.com/chenhongge/RobustTrees)

  

- **Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples (IJCAI 2019)**

  - Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang, Carlo Zaniolo

  - [[Paper]](https://www.ijcai.org/proceedings/2019/0306.pdf)

  

- **FAHT: An Adaptive Fairness-aware Decision Tree Classifier (IJCAI 2019)**

  - Wenbin Zhang, Eirini Ntoutsi

  - [[Paper]](https://arxiv.org/abs/1907.07237)

  - [[Code]](https://github.com/vanbanTruong/FAHT)

- **Inter-node Hellinger Distance based Decision Tree (IJCAI 2019)**

  - Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib

  - [[Paper]](https://www.ijcai.org/proceedings/2019/0272.pdf)

  - [[Matlab Code]](https://github.com/ZDanielsResearch/HellingerTreesMatlab)

  - [[R Code]](https://github.com/kaustubhrpatil/HDDT)

- **Gradient Boosting with Piece-Wise Linear Regression Trees (IJCAI 2019)**

  - Yu Shi, Jian Li, Zhize Li

  - [[Paper]](https://arxiv.org/abs/1802.05640)

  - [[Code]](https://github.com/GBDT-PL/GBDT-PL)

- **A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees (IJCAI 2019)**

  - Klaus Broelemann, Gjergji Kasneci

  - [[Paper]](https://arxiv.org/abs/1809.09703)

  

- **Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (KDD 2019)**

  - Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler

  - [[Paper]](https://ai.google/research/pubs/pub48133/)

  

- **Partitioning Structure Learning for Segmented Linear Regression Trees (NeurIPS 2019)**

  - Xiangyu Zheng, Song Xi Chen

  - [[Paper]](https://papers.nips.cc/paper/8494-partitioning-structure-learning-for-segmented-linear-regression-trees)

  

- **Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks (NeurIPS 2019)**

  - Maksym Andriushchenko, Matthias Hein

  - [[Paper]](https://arxiv.org/abs/1906.03526)

  - [[Code]](https://github.com/max-andr/provably-robust-boosting)

- **Optimal Decision Tree with Noisy Outcomes (NeurIPS 2019)**

  - Su Jia, Viswanath Nagarajan, Fatemeh Navidi, R. Ravi

  - [[Paper]](https://papers.nips.cc/paper/8592-optimal-decision-tree-with-noisy-outcomes.pdf)

  - [[Code]](https://github.com/sjia1/ODT-with-noisy-outcomes)

- **Regularized Gradient Boosting (NeurIPS 2019)**

  - Corinna Cortes, Mehryar Mohri, Dmitry Storcheus

  - [[Paper]](https://papers.nips.cc/paper/8784-regularized-gradient-boosting.pdf)

- **Optimal Sparse Decision Trees (NeurIPS 2019)**

  - Xiyang Hu, Cynthia Rudin, Margo Seltzer

  - [[Paper]](https://papers.nips.cc/paper/8947-optimal-sparse-decision-trees.pdf)

  - [[Code]](https://github.com/xiyanghu/OSDT)

- **Calibrating Probability Estimation Trees using Venn-Abers Predictors (SDM 2019)**

  - Ulf Johansson, Tuwe Löfström, Henrik Boström

  - [[Paper]](https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.4)

  

- **Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization (SDM 2019)**

  - Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander

  - [[Paper]](https://epubs.siam.org/doi/pdf/10.1137/1.9781611975673.32)

  

- **Block-distributed Gradient Boosted Trees (SIGIR 2019)**

  - Theodore Vasiloudis, Hyunsu Cho, Henrik Boström

  - [[Paper]](https://arxiv.org/abs/1904.10522)

  

- **Entity Personalized Talent Search Models with Tree Interaction Features (WWW 2019)**

  - Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan

  - [[Paper]](https://arxiv.org/abs/1902.09041)

## 2018

- **Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees (AAAI 2018)**

  - Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé

  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16183/16394)

- **MERCS: Multi-Directional Ensembles of Regression and Classification Trees (AAAI 2018)**

  - Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel

  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/viewFile/16875/16735)

  - [[Code]](https://github.com/eliavw/mercs-v5)

- **Differential Performance Debugging With Discriminant Regression Trees (AAAI 2018)**

  - Saeid Tizpaz-Niari, Pavol Cerný, Bor-Yuh Evan Chang, Ashutosh Trivedi

  - [[Paper]](https://arxiv.org/abs/1711.04076)

  - [[Code]](https://github.com/cuplv/DPDEBUGGER)

- **Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction (AAAI 2018)**

  - Jessa Bekker, Jesse Davis

  - [[Paper]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16776)

- **MDP-Based Cost Sensitive Classification Using Decision Trees (AAAI 2018)**

  - Shlomi Maliah, Guy Shani

  - [[Paper]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17128)

- **Generative Adversarial Image Synthesis With Decision Tree Latent Controller (CVPR 2018)**

  - Takuhiro Kaneko, Kaoru Hiramatsu, Kunio Kashino

  - [[Paper]](https://arxiv.org/abs/1805.10603)

  - [[Code]](https://github.com/LynnHo/DTLC-GAN-Tensorflow)

- **Enhancing Very Fast Decision Trees with Local Split-Time Predictions (ICDM 2018)**

  - Viktor Losing, Heiko Wersing, Barbara Hammer

  - [[Paper]](https://www.techfak.uni-bielefeld.de/~hwersing/LosingHammerWersing_ICDM2018.pdf)

  - [[Code]](https://github.com/ICDM2018Submission/VFDT-split-time-prediction)

  

- **Realization of Random Forest for Real-Time Evaluation through Tree Framing (ICDM 2018)**

  - Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik

  - [[Paper]](https://sfb876.tu-dortmund.de/PublicPublicationFiles/buschjaeger_2018a.pdf)

- **Finding Influential Training Samples for Gradient Boosted Decision Trees (ICML 2018)**

  - Boris Sharchilev, Yury Ustinovskiy, Pavel Serdyukov, Maarten de Rijke

  - [[Paper]](https://arxiv.org/abs/1802.06640)

  - [[Code]](https://github.com/bsharchilev/influence_boosting)

- **Learning Optimal Decision Trees with SAT (IJCAI 2018)**

  - Nina Narodytska, Alexey Ignatiev, Filipe Pereira, João Marques-Silva

  - [[Paper]](https://www.ijcai.org/proceedings/2018/0189.pdf)

- **Extremely Fast Decision Tree (KDD 2018)**

  - Chaitanya Manapragada, Geoffrey I. Webb, Mahsa Salehi

  - [[Paper]](https://arxiv.org/abs/1802.08780)

  - [[Code]](https://github.com/doubleplusplus/incremental_decision_tree-CART-Random_Forest_python)

  

- **RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization (KDD 2018)**

  - Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang

  - [[Paper]](http://ai.stanford.edu/~wzou/kdd_rapidscorer.pdf)

  

- **CatBoost: Unbiased Boosting with Categorical Features (NIPS 2018)**

  - Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna Veronika Dorogush, Andrey Gulin

  - [[Paper]](https://papers.nips.cc/paper/7898-catboost-unbiased-boosting-with-categorical-features.pdf)

  - [[Code]](https://catboost.ai/)

  

- **Active Learning for Non-Parametric Regression Using Purely Random Trees (NIPS 2018)**

  - Jack Goetz, Ambuj Tewari, Paul Zimmerman

  - [[Paper]](https://papers.nips.cc/paper/7520-active-learning-for-non-parametric-regression-using-purely-random-trees.pdf)

- **Alternating Optimization of Decision Trees with Application to Learning Sparse Oblique Trees (NIPS 2018)**

  - Miguel Á. Carreira-Perpiñán, Pooya Tavallali

  - [[Paper]](https://papers.nips.cc/paper/7397-alternating-optimization-of-decision-trees-with-application-to-learning-sparse-oblique-trees)

- **Multi-Layered Gradient Boosting Decision Trees (NIPS 2018)**

  - Ji Feng, Yang Yu, Zhi-Hua Zhou

  - [[Paper]](https://papers.nips.cc/paper/7614-multi-layered-gradient-boosting-decision-trees.pdf)

  - [[Code]](https://github.com/kingfengji/mGBDT)

  

- **Transparent Tree Ensembles (SIGIR 2018)**

  - Alexander Moore, Vanessa Murdock, Yaxiong Cai, Kristine Jones

  - [[Paper]](http://delivery.acm.org/10.1145/3220000/3210151/p1241-moore.pdf?ip=129.215.164.203&id=3210151&acc=ACTIVE%20SERVICE&key=C2D842D97AC95F7A%2EEB9E991028F4E1F1%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1559054892_a29816c683aa83a0ce0fbb777c68daba)

- **Privacy-aware Ranking with Tree Ensembles on the Cloud (SIGIR 2018)**

  - Shiyu Ji, Jinjin Shao, Daniel Agun, Tao Yang

  - [[Paper]](https://sites.cs.ucsb.edu/projects/ds/sigir18.pdf)

## 2017

- **Strategic Sequences of Arguments for Persuasion Using Decision Trees (AAAI 2017)**

  - Emmanuel Hadoux, Anthony Hunter

  - [[Paper]](http://www0.cs.ucl.ac.uk/staff/a.hunter/papers/aaai17.pdf)

- **BoostVHT: Boosting Distributed Streaming Decision Trees (CIKM 2017)**

  - Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales

  - [[Paper]](https://melmeric.files.wordpress.com/2010/05/boostvht-boosting-distributed-streaming-decision-trees.pdf)

- **Latency Reduction via Decision Tree Based Query Construction (CIKM 2017)**

  - Aman Grover, Dhruv Arya, Ganesh Venkataraman

  - [[Paper]](https://dl.acm.org/citation.cfm?id=3132865)

- **Enumerating Distinct Decision Trees (ICML 2017)**

  - Salvatore Ruggieri

  - [[Paper]](http://proceedings.mlr.press/v70/ruggieri17a/ruggieri17a.pdf)

- **Gradient Boosted Decision Trees for High Dimensional Sparse Output (ICML 2017)**

  - Si Si, Huan Zhang, S. Sathiya Keerthi, Dhruv Mahajan, Inderjit S. Dhillon, Cho-Jui Hsieh

  - [[Paper]](http://proceedings.mlr.press/v70/si17a.html)

  - [[Code]](https://github.com/springdaisy/GBDT)

- **Consistent Feature Attribution for Tree Ensembles (ICML 2017)**

  - Scott M. Lundberg, Su-In Lee

  - [[Paper]](https://arxiv.org/abs/1706.06060)

  - [[Code]](https://github.com/slundberg/shap)

- **Extremely Fast Decision Tree Mining for Evolving Data Streams (KDD 2017)**

  - Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer

  - [[Paper]](https://core.ac.uk/download/pdf/151040580.pdf)

  

- **CatBoost: Gradient Boosting with Categorical Features Support (NIPS 2017)**

  - Anna Veronika Dorogush, Vasily Ershov, Andrey Gulin

  - [[Paper]](https://arxiv.org/abs/1810.11363)

  - [[Code]](https://catboost.ai/)

- **LightGBM: A Highly Efficient Gradient Boosting Decision Tree (NIPS 2017)**

  - Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu

  - [[Paper]](https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision-tree)

  - [[Code]](https://lightgbm.readthedocs.io/en/latest/)

- **Variable Importance Using Decision Trees (NIPS 2017)**

  - Jalil Kazemitabar, Arash Amini, Adam Bloniarz, Ameet S. Talwalkar

  - [[Paper]](https://papers.nips.cc/paper/6646-variable-importance-using-decision-trees)

- **A Unified Approach to Interpreting Model Predictions (NIPS 2017)**

  - Scott M. Lundberg, Su-In Lee

  - [[Paper]](https://papers.nips.cc/paper/7062-a-unified-approach-to-interpreting-model-predictions)

  - [[Code]](https://github.com/slundberg/shap)

- **Pruning Decision Trees via Max-Heap Projection (SDM 2017)**

  - Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye

  - [[Paper]](https://www.researchgate.net/publication/317485748_Pruning_Decision_Trees_via_Max-Heap_Projection)

- **A Practical Method for Solving Contextual Bandit Problems Using Decision Trees (UAI 2017)**

  - Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik

  - [[Paper]](https://arxiv.org/abs/1706.04687)

- **Complexity of Solving Decision Trees with Skew-Symmetric Bilinear Utility (UAI 2017)**

  - Hugo Gilbert, Olivier Spanjaard

  - [[Paper]](http://auai.org/uai2017/proceedings/papers/64.pdf)

  

- **GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees (WWW 2017)**

  - Qian Zhao, Yue Shi, Liangjie Hong

  - [[Paper]](http://papers.www2017.com.au.s3-website-ap-southeast-2.amazonaws.com/proceedings/p1311.pdf)

## 2016

- **Sparse Perceptron Decision Tree for Millions of Dimensions (AAAI 2016)**

  - Weiwei Liu, Ivor W. Tsang

  - [[Paper]](https://aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/12111)

- **Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees (CVPR 2016)**

  - Jianhui Chen, Hoang Minh Le, Peter Carr, Yisong Yue, James J. Little

  - [[Paper]](http://hoangle.info/papers/cvpr2016_online_smooth_long.pdf)

- **Online Learning with Bayesian Classification Trees (CVPR 2016)**

  - Samuel Rota Bulò, Peter Kontschieder

  - [[Paper]](http://www.dsi.unive.it/~srotabul/files/publications/CVPR2016.pdf)

- **Accurate Robust and Efficient Error Estimation for Decision Trees (ICML 2016)**

  - Lixin Fan

  - [[Paper]](http://proceedings.mlr.press/v48/fan16.pdf)

- **Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning (ICML 2016)**

  - Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev, Pavel Serdyukov

  - [[Paper]](http://proceedings.mlr.press/v48/ustinovskiy16.html)

- **Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments (KDD 2016)**

  - Alexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov

  - [[Paper]](https://www.kdd.org/kdd2016/papers/files/adf0653-poyarkovA.pdf)

  

- **XGBoost: A Scalable Tree Boosting System (KDD 2016)**

  - Tianqi Chen, Carlos Guestrin

  - [[Paper]](https://www.kdd.org/kdd2016/papers/files/rfp0697-chenAemb.pdf)

  - [[Code]](https://xgboost.readthedocs.io/en/latest/)

- **Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale (NIPS 2016)**

  - Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet S. Talwalkar

  - [[Paper]](https://papers.nips.cc/paper/6366-yggdrasil-an-optimized-system-for-training-deep-decision-trees-at-scale)

- **A Communication-Efficient Parallel Algorithm for Decision Tree (NIPS 2016)**

  - Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu

  - [[Paper]](https://arxiv.org/abs/1611.01276)

  - [[Code]](https://github.com/microsoft/LightGBM/blob/master/docs/Features.rst)

- **Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles (SIGIR 2016)**

  - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini

  - [[Paper]](http://pages.di.unipi.it/rossano/wp-content/uploads/sites/7/2016/07/SIGIR16a.pdf)

  - [[Code]](https://github.com/hpclab/vectorized-quickscorer)

- **Post-Learning Optimization of Tree Ensembles for Efficient Ranking (SIGIR 2016)**

  - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Fabrizio Silvestri, Salvatore Trani

  - [[Paper]](https://www.researchgate.net/publication/305081572_Post-Learning_Optimization_of_Tree_Ensembles_for_Efficient_Ranking)

  - [[Code]](https://github.com/hpclab/quickrank)

## 2015

- **Particle Gibbs for Bayesian Additive Regression Trees (AISTATS 2015)**

  - Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh

  - [[Paper]](https://arxiv.org/abs/1502.04622)

- **DART: Dropouts Meet Multiple Additive Regression Trees (AISTATS 2015)**

  - Korlakai Vinayak Rashmi, Ran Gilad-Bachrach

  - [[Paper]](https://arxiv.org/abs/1505.01866)

  - [[Code]](https://xgboost.readthedocs.io/en/latest/)

- **Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-level Appearance Models (CVPR 2015)**

  - Jingjing Xiao, Rustam Stolkin, Ales Leonardis

  - [[Paper]](https://www.cv-foundation.org/openaccess/content_cvpr_2015/app/3B_058.pdf)

- **Face Alignment Using Cascade Gaussian Process Regression Trees (CVPR 2015)**

  - Donghoon Lee, Hyunsin Park, Chang Dong Yoo

  - [[Paper]](https://slsp.kaist.ac.kr/paperdata/Face_Alignment_Using.pdf)

  - [[Code]](https://github.com/donghoonlee04/cGPRT)

- **Tracking-by-Segmentation with Online Gradient Boosting Decision Tree (ICCV 2015)**

  - Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han

  - [[Paper]](Tracking-by-Segmentation with Online Gradient Boosting Decision Tree)

- **Entropy Evaluation Based on Confidence Intervals of Frequency Estimates : Application to the Learning of Decision Trees (ICML 2015)**

  - Mathieu Serrurier, Henri Prade

  - [[Paper]](http://proceedings.mlr.press/v37/serrurier15.pdf)

  

- **Large-scale Distributed Dependent Nonparametric Trees (ICML 2015)**

  - Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing

  - [[Paper]](https://www.cs.cmu.edu/~zhitingh/data/icml15hu.pdf)

- **Optimal Action Extraction for Random Forests and Boosted Trees (KDD 2015)**

  - Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen

  - [[Paper]](https://www.cse.wustl.edu/~ychen/public/OAE.pdf)

- **A Decision Tree Framework for Spatiotemporal Sequence Prediction (KDD 2015)**

  - Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews

  - [[Paper]](http://www.yisongyue.com/publications/kdd2015_ssw_dt.pdf)

- **Efficient Non-greedy Optimization of Decision Trees (NIPS 2015)**

  - Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli

  - [[Paper]](https://arxiv.org/abs/1511.04056)

  

- **QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees (SIGIR 2015)**

  - Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini

  - [[Paper]](http://pages.di.unipi.it/rossano/wp-content/uploads/sites/7/2015/11/sigir15.pdf)

  - [[Code]](https://github.com/hpclab/quickrank)

## 2014

- **A Mixtures-of-Trees Framework for Multi-Label Classification (CIKM 2014)**

  - Charmgil Hong, Iyad Batal, Milos Hauskrecht

  - [[Paper]](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410801/)

  

- **On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (CIKM 2014)**

  - Shivaram Kalyanakrishnan, Deepthi Singh, Ravi Kant

  - [[Paper]](https://www.cse.iitb.ac.in/~shivaram/papers/ksk_cikm_2014.pdf)

- **Fast Supervised Hashing with Decision Trees for High-Dimensional Data (CVPR 2014)**

  - Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter

  - [[Paper]](https://arxiv.org/abs/1404.1561)

- **One Millisecond Face Alignment with an Ensemble of Regression Trees (CVPR 2014)**

  - Vahid Kazemi, Josephine Sullivan

  - [[Paper]](https://www.researchgate.net/publication/264419855_One_Millisecond_Face_Alignment_with_an_Ensemble_of_Regression_Trees)

  

- **The return of AdaBoost.MH: multi-class Hamming trees (ICLR 2014)**

  - Balázs Kégl

  - [[Paper]](https://arxiv.org/pdf/1312.6086.pdf)

- **Diagnosis Determination: Decision Trees Optimizing Simultaneously Worst and Expected Testing Cost (ICML 2014)**

  - Ferdinando Cicalese, Eduardo Sany Laber, Aline Medeiros Saettler

  - [[Paper]](https://pdfs.semanticscholar.org/47ae/852f83b76f95b27ab00308d04f6020bdf71f.pdf)

  

- **Learning Multiple-Question Decision Trees for Cold-Start Recommendation (WSDM 2013)**

  - Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha

  - [[Paper]](http://www.joonseok.net/papers/coldstart.pdf)

## 2013

- **Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria (ICCV 2013)**

  - Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht

  - [[Paper]](https://ieeexplore.ieee.org/document/6751340)

- **Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees (ICCV 2013)**

  - Oisin Mac Aodha, Gabriel J. Brostow

  - [[Paper]](https://ieeexplore.ieee.org/document/6751133)

- **Conformal Prediction Using Decision Trees (ICDM 2013)**

  - Ulf Johansson, Henrik Boström, Tuve Löfström

  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/6729517)

- **Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results (ICDM 2013)**

  - Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph K. Knight, Jennifer Corcoran

  - [[Paper]](https://pdfs.semanticscholar.org/f28e/df8d9eed76e4ce97cb6bd4182d590547be5e.pdf)

- **Top-down Particle Filtering for Bayesian Decision Trees (ICML 2013)**

  - Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh

  - [[Paper]](https://arxiv.org/abs/1303.0561)

- **Quickly Boosting Decision Trees - Pruning Underachieving Features Early (ICML 2013)**

  - Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona

  - [[Paper]](http://proceedings.mlr.press/v28/appel13.pdf)

- **Knowledge Compilation for Model Counting: Affine Decision Trees (IJCAI 2013)**

  - Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Samuel Thomas

  - [[Paper]](https://www.researchgate.net/publication/262398921_Knowledge_Compilation_for_Model_Counting_Affine_Decision_Trees)

  

- **Understanding Variable Importances in Forests of Randomized Trees (NIPS 2013)**

  - Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts

  - [[Paper]](https://papers.nips.cc/paper/4928-understanding-variable-importances-in-forests-of-randomized-trees)

- **Regression-tree Tuning in a Streaming Setting (NIPS 2013)**

  - Samory Kpotufe, Francesco Orabona

  - [[Paper]](https://papers.nips.cc/paper/4898-regression-tree-tuning-in-a-streaming-setting)

- **Learning Max-Margin Tree Predictors (UAI 2013)**

  - Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson

  - [[Paper]](https://ttic.uchicago.edu/~meshi/papers/mtreen.pdf)

## 2012

- **Regression Tree Fields - An Efficient, Non-parametric Approach to Image Labeling Problems (CVPR 2012)**

  - Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother

  - [[Paper]](http://www.nowozin.net/sebastian/papers/jancsary2012rtf.pdf)

- **ConfDTree: Improving Decision Trees Using Confidence Intervals (ICDM 2012)**

  - Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek

  - [[Paper]](https://ieeexplore.ieee.org/document/6413889)

- **Improved Information Gain Estimates for Decision Tree Induction (ICML 2012)**

  - Sebastian Nowozin

  - [[Paper]](https://arxiv.org/abs/1206.4620)

- **Learning Partially Observable Models Using Temporally Abstract Decision Trees (NIPS 2012)**

  - Erik Talvitie

  - [[Paper]](https://papers.nips.cc/paper/4662-learning-partially-observable-models-using-temporally-abstract-decision-trees)

  

- **Subtree Replacement in Decision Tree Simplification (SDM 2012)**

  - Salvatore Ruggieri

  - [[Paper]](http://pages.di.unipi.it/ruggieri/Papers/sdm2012.pdf)

## 2011

- **Incorporating Boosted Regression Trees into Ecological Latent Variable Models (AAAI 2011)**

  - Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich

  - [[Paper]](https://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/viewFile/3711/4086)

- **Syntactic Decision Tree LMs: Random Selection or Intelligent Design (EMNLP 2011)**

  - Denis Filimonov, Mary P. Harper

  - [[Paper]](https://www.aclweb.org/anthology/D11-1064)

  

- **Decision Tree Fields (ICCV 2011)**

  - Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli

  - [[Paper]](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/11/nrbsyk_iccv11.pdf)

- **Confidence in Predictions from Random Tree Ensembles (ICDM 2011)**

  - Siddhartha Bhattacharyya

  - [[Paper]](https://link.springer.com/article/10.1007/s10115-012-0600-z)

- **Speeding-Up Hoeffding-Based Regression Trees With Options (ICML 2011)**

  - Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski

  - [[Paper]](https://icml.cc/Conferences/2011/papers/349_icmlpaper.pdf)

  

- **Density Estimation Trees (KDD 2011)**

  - Parikshit Ram, Alexander G. Gray

  - [[Paper]](https://mlpack.org/papers/det.pdf)

  

- **Bagging Gradient-Boosted Trees for High Precision, Low Variance Ranking Models (SIGIR 2011)**

  - Yasser Ganjisaffar, Rich Caruana, Cristina Videira Lopes

  - [[Paper]](http://www.ccs.neu.edu/home/vip/teach/MLcourse/4_boosting/materials/bagging_lmbamart_jforests.pdf)

- **On the Complexity of Decision Making in Possibilistic Decision Trees (UAI 2011)**

  - Hélène Fargier, Nahla Ben Amor, Wided Guezguez

  - [[Paper]](https://dslpitt.org/uai/papers/11/p203-fargier.pdf)

- **Adaptive Bootstrapping of Recommender Systems Using Decision Trees (WSDM 2011)**

  - Nadav Golbandi, Yehuda Koren, Ronny Lempel

  - [[Paper]](https://dl.acm.org/citation.cfm?id=1935910)

- **Parallel Boosted Regression Trees for Web Search Ranking (WWW 2011)**

  - Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin

  - [[Paper]](http://www.cs.cornell.edu/~kilian/papers/fr819-tyreeA.pdf)

## 2010

- **Discrimination Aware Decision Tree Learning (ICDM 2010)**

  - Faisal Kamiran, Toon Calders, Mykola Pechenizkiy

  - [[Paper]](https://www.win.tue.nl/~mpechen/publications/pubs/KamiranICDM2010.pdf)

- **Decision Trees for Uplift Modeling (ICDM 2010)**

  - Piotr Rzepakowski, Szymon Jaroszewicz

  - [[Paper]](https://core.ac.uk/download/pdf/81899141.pdf)

- **Learning Markov Network Structure with Decision Trees (ICDM 2010)**

  - Daniel Lowd, Jesse Davis

  - [[Paper]](https://ix.cs.uoregon.edu/~lowd/icdm10lowd.pdf)

- **Multivariate Dyadic Regression Trees for Sparse Learning Problems (NIPS 2010)**

  - Han Liu, Xi Chen

  - [[Paper]](https://papers.nips.cc/paper/4178-multivariate-dyadic-regression-trees-for-sparse-learning-problems.pdf)

  

- **Fast and Accurate Gene Prediction by Decision Tree Classification (SDM 2010)**

  - Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen

  - [[Paper]](http://www.sfu.ca/~chenn/genBlastDT_sdm.pdf)

- **A Robust Decision Tree Algorithm for Imbalanced Data Sets (SDM 2010)**

  - Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla

  - [[Paper]](https://www3.nd.edu/~nchawla/papers/SDM10.pdf)

## 2009

- **Stochastic Gradient Boosted Distributed Decision Trees (CIKM 2009)**

  - Jerry Ye, Jyh-Herng Chow, Jiang Chen, Zhaohui Zheng

  - [[Paper]](https://dl.acm.org/citation.cfm?id=1646301)

  

- **Feature Selection for Ranking Using Boosted Trees (CIKM 2009)**

  - Feng Pan, Tim Converse, David Ahn, Franco Salvetti, Gianluca Donato

  - [[Paper]](http://www.francosalvetti.com/cikm09_camera2.pdf)

  

- **Thai Word Segmentation with Hidden Markov Model and Decision Tree (PAKDD 2009)**

  - Poramin Bheganan, Richi Nayak, Yue Xu

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-642-01307-2_10)

- **Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data (PAKDD 2009)**

  - Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-642-01307-2_35)

- **DTU: A Decision Tree for Uncertain Data (PAKDD 2009)**

  - Biao Qin, Yuni Xia, Fang Li

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-642-01307-2_4)

## 2008

- **Predicting Future Decision Trees from Evolving Data (ICDM 2008)**

  - Mirko Böttcher, Martin Spott, Rudolf Kruse

  - [[Paper]](https://ieeexplore.ieee.org/document/4781098)

- **Bayes Optimal Classification for Decision Trees (ICML 2008)**

  - Siegfried Nijssen

  - [[Paper]](http://icml2008.cs.helsinki.fi/papers/455.pdf)

  

- **A New Credit Scoring Method Based on Rough Sets and Decision Tree (PAKDD 2008)**

  - XiYue Zhou, Defu Zhang, Yi Jiang

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-68125-0_117)

- **A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees (PAKDD 2008)**

  - Philippe Lenca, Stéphane Lallich, Thanh-Nghi Do, Nguyen-Khang Pham

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-68125-0_59)

- **BOAI: Fast Alternating Decision Tree Induction Based on Bottom-Up Evaluation (PAKDD 2008)**

  - Bishan Yang, Tengjiao Wang, Dongqing Yang, Lei Chang

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-68125-0_36)

- **A General Framework for Estimating Similarity of Datasets and Decision Trees: Exploring Semantic Similarity of Decision Trees (SDM 2008)**

  - Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis

  - [[Paper]](https://www.researchgate.net/publication/220907047_A_general_framework_for_estimating_similarity_of_datasets_and_decision_trees_exploring_semantic_similarity_of_decision_trees)

- **ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data (SDM 2008)**

  - M. Maruf Hossain, Md. Rafiul Hassan, James Bailey

  - [[Paper]](https://pdfs.semanticscholar.org/bd80/db2f0903169b7611d34b2cc85f60a736375d.pdf)

## 2007

- **Tree-based Classifiers for Bilayer Video Segmentation (CVPR 2007)**

  - Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa

  - [[Paper]](https://ieeexplore.ieee.org/document/4270033)

- **Additive Groves of Regression Trees (ECML 2007)**

  - Daria Sorokina, Rich Caruana, Mirek Riedewald

  - [[Paper]](http://additivegroves.net/papers/groves.pdf)

- **Decision Tree Instability and Active Learning (ECML 2007)**

  - Kenneth Dwyer, Robert Holte

  - [[Paper]](https://webdocs.cs.ualberta.ca/~holte/Publications/ecml07.pdf)

- **Ensembles of Multi-Objective Decision Trees (ECML 2007)**

  - Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-74958-5_61)

- **Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble (ECML 2007)**

  - Anneleen Van Assche, Hendrik Blockeel

  - [[Paper]](http://ftp.cs.wisc.edu/machine-learning/shavlik-group/ilp07wip/ilp07_assche.pdf)

- **Sample Compression Bounds for Decision Trees (ICML 2007)**

  - Mohak Shah

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.331.9136&rep=rep1&type=pdf)

- **A Tighter Error Bound for Decision Tree Learning Using PAC Learnability (IJCAI 2007)**

  - Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu

  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/163.pdf)

- **Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary (IJCAI 2007)**

  - Isabelle Alvarez, Stephan Bernard, Guillaume Deffuant

  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/104.pdf)

- **Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree (IJCAI 2007)**

  - Claudia Henry, Richard Nock, Frank Nielsen

  - [[Paper]](https://www.ijcai.org/Proceedings/07/Papers/135.pdf)

- **Scalable Look-ahead Linear Regression Trees (KDD 2007)**

  - David S. Vogel, Ognian Asparouhov, Tobias Scheffer

  - [[Paper]](https://www.cs.uni-potsdam.de/ml/publications/kdd2007.pdf)

- **Mining Optimal Decision Trees from Itemset Lattices (KDD 2007)**

  - Siegfried Nijssen, Élisa Fromont

  - [[Paper]](https://hal.archives-ouvertes.fr/hal-00372011/document)

  

- **A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees (PAKDD 2007)**

  - Zhouxuan Teng, Wenliang Du

  - [[Paper]](https://link.springer.com/chapter/10.1007/978-3-540-71701-0_30)

## 2006

- **Decision Tree Methods for Finding Reusable MDP Homomorphisms (AAAI 2006)**

  - Alicia P. Wolfe, Andrew G. Barto

  - [[Paper]](https://www.aaai.org/Papers/AAAI/2006/AAAI06-085.pdf)

- **A Fast Decision Tree Learning Algorithm (AAAI 2006)**

  - Jiang Su, Harry Zhang

  - [[Paper]](http://www.cs.unb.ca/~hzhang/publications/AAAI06.pdf)

- **Anytime Induction of Decision Trees: An Iterative Improvement Approach (AAAI 2006)**

  - Saher Esmeir, Shaul Markovitch

  - [[Paper]](https://www.aaai.org/Papers/AAAI/2006/AAAI06-056.pdf)

- **When a Decision Tree Learner Has Plenty of Time (AAAI 2006)**

  - Saher Esmeir, Shaul Markovitch

  - [[Paper]](https://www.aaai.org/Papers/AAAI/2006/AAAI06-259.pdf)

- **Decision Trees for Functional Variables (ICDM 2006)**

  - Suhrid Balakrishnan, David Madigan

  - [[Paper]](http://archive.dimacs.rutgers.edu/Research/MMS/PAPERS/fdt17.pdf)

  

- **Cost-Sensitive Decision Tree Learning for Forensic Classification (ECML 2006)**

  - Jason V. Davis, Jungwoo Ha, Christopher J. Rossbach, Hany E. Ramadan, Emmett Witchel

  - [[Paper]](https://www.cs.utexas.edu/users/witchel/pubs/davis-ecml06.pdf)

- **Improving the Ranking Performance of Decision Trees (ECML 2006)**

  - Bin Wang, Harry Zhang

  - [[Paper]](https://link.springer.com/chapter/10.1007/11871842_44)

- **A General Framework for Accurate and Fast Regression by Data Summarization in Random Decision Trees (KDD 2006)**

  - Wei Fan, Joe McCloskey, Philip S. Yu

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.442.2004&rep=rep1&type=pdf)

  

- **Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction (PAKDD 2006)**

  - Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio

  - [[Paper]](http://www.ar.sanken.osaka-u.ac.jp/~motoda/papers/pakdd06.pdf)

- **Variable Randomness in Decision Tree Ensembles (PAKDD 2006)**

  - Fei Tony Liu, Kai Ming Ting

  - [[Paper]](https://link.springer.com/chapter/10.1007/11731139_12)

- **Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees (PAKDD 2006)**

  - Dan A. Simovici, Szymon Jaroszewicz

  - [[Paper]](https://www.researchgate.net/profile/Szymon_Jaroszewicz/publication/220895184_Generalized_Conditional_Entropy_and_a_Metric_Splitting_Criterion_for_Decision_Trees/links/0fcfd50b1267f7b868000000/Generalized-Conditional-Entropy-and-a-Metric-Splitting-Criterion-for-Decision-Trees.pdf)

- **Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics (PKDD 2006)**

  - Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare

  - [[Paper]](https://link.springer.com/chapter/10.1007/11871637_7)

- **k-Anonymous Decision Tree Induction (PKDD 2006)**

  - Arik Friedman, Assaf Schuster, Ran Wolff

  - [[Paper]](http://www.cs.technion.ac.il/~arikf/online-publications/kADET06.pdf)

## 2005

- **Representing Conditional Independence Using Decision Trees (AAAI 2005)**

  - Jiang Su, Harry Zhang

  - [[Paper]](http://www.cs.unb.ca/~hzhang/publications/AAAI051SuJ.pdf)

- **Use of Expert Knowledge for Decision Tree Pruning (AAAI 2005)**

  - Jingfeng Cai, John Durkin

  - [[Paper]](http://www.aaai.org/Papers/AAAI/2005/SA05-009.pdf)

  

- **Model Selection in Omnivariate Decision Trees (ECML 2005)**

  - Olcay Taner Yildiz, Ethem Alpaydin

  - [[Paper]](https://www.cmpe.boun.edu.tr/~ethem/files/papers/yildiz_ecml05.pdf)

- **Combining Bias and Variance Reduction Techniques for Regression Trees (ECML 2005)**

  - Yuk Lai Suen, Prem Melville, Raymond J. Mooney

  - [[Paper]](http://www.cs.utexas.edu/users/ml/papers/bv-ecml-05.pdf)

- **Simple Test Strategies for Cost-Sensitive Decision Trees (ECML 2005)**

  - Shengli Sheng, Charles X. Ling, Qiang Yang

  - [[Paper]](https://www.researchgate.net/publication/3297582_Test_strategies_for_cost-sensitive_decision_trees)

- **Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches (ICDM 2005)**

  - Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.218.9713&rep=rep1&type=pdf)

- **Exploiting Informative Priors for Bayesian Classification and Regression Trees (IJCAI 2005)**

  - Nicos Angelopoulos, James Cussens

  - [[Paper]](https://www.ijcai.org/Proceedings/05/Papers/1013.pdf)

- **Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility (IJCAI 2005)**

  - Isabelle Alvarez, Stephan Bernard

  - [[Paper]](https://www.ijcai.org/Proceedings/05/Papers/1502.pdf)

  

- **Maximizing Tree Diversity by Building Complete-Random Decision Trees (PAKDD 2005)**

  - Fei Tony Liu, Kai Ming Ting, Wei Fan

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.218.7805&rep=rep1&type=pdf)

- **Hybrid Cost-Sensitive Decision Tree (PKDD 2005)**

  - Shengli Sheng, Charles X. Ling

  - [[Paper]](https://cling.csd.uwo.ca/papers/pkdd05a.pdf)

- **Tree2 - Decision Trees for Tree Structured Data (PKDD 2005)**

  - Björn Bringmann, Albrecht Zimmermann

  - [[Paper]](https://link.springer.com/chapter/10.1007/11564126_10)

- **Building Decision Trees on Records Linked through Key References (SDM 2005)**

  - Ke Wang, Yabo Xu, Philip S. Yu, Rong She

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.215.7181&rep=rep1&type=pdf)

- **Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases (SDM 2005)**

  - Amir Bar-Or, Ran Wolff, Assaf Schuster, Daniel Keren

  - [[Paper]](https://www.semanticscholar.org/paper/Decision-Tree-Induction-in-High-Dimensional%2C-Bar-Or-Wolff/90235fc35c27dae273681f7847c2b20ff37928a9)

- **Boosted Decision Trees for Word Recognition in Handwritten Document Retrieval (SIGIR 2005)**

  - Nicholas R. Howe, Toni M. Rath, R. Manmatha

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.152.1551&rep=rep1&type=pdf)

## 2004

- **On the Optimality of Probability Estimation by Random Decision Trees (AAAI 2004)**

  - Wei Fan

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.447.2128&rep=rep1&type=pdf)

- **Occam's Razor and a Non-Syntactic Measure of Decision Tree Complexity (AAAI 2004)**

  - Goutam Paul

  - [[Paper]](https://www.aaai.org/Papers/AAAI/2004/AAAI04-130.pdf)

- **Using Emerging Patterns and Decision Trees in Rare-Class Classification (ICDM 2004)**

  - Hamad Alhammady, Kotagiri Ramamohanarao

  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/1410299)

- **Orthogonal Decision Trees (ICDM 2004)**

  - Hillol Kargupta, Haimonti Dutta

  - [[Paper]](https://www.csee.umbc.edu/~hillol/PUBS/odtree.pdf)

- **Improving the Reliability of Decision Tree and Naive Bayes Learners (ICDM 2004)**

  - David George Lindsay, Siân Cox

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.521.3127&rep=rep1&type=pdf)

- **Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data (ICDM 2004)**

  - Chris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.79.7119&rep=rep1&type=pdf)

- **Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams (ICDM 2004)**

  - Wei Fan, Yi-an Huang, Philip S. Yu

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.218.9450&rep=rep1&type=pdf)

- **Lookahead-based Algorithms for Anytime Induction of Decision Trees (ICML 2004)**

  - Saher Esmeir, Shaul Markovitch

  - [[Paper]](http://www.cs.technion.ac.il/~shaulm/papers/pdf/Esmeir-Markovitch-icml2004.pdf)

  

- **Decision Trees with Minimal Costs (ICML 2004)**

  - Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang

  - [[Paper]](https://icml.cc/Conferences/2004/proceedings/papers/136.pdf)

- **Training Conditional Random Fields via Gradient Tree Boosting (ICML 2004)**

  - Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov

  - [[Paper]](http://web.engr.oregonstate.edu/~tgd/publications/ml2004-treecrf.pdf)

- **Detecting Structural Metadata with Decision Trees and Transformation-Based Learning (NAACL 2004)**

  - Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf

  - [[Paper]](https://www.aclweb.org/anthology/N04-1018)

- **On the Adaptive Properties of Decision Trees (NIPS 2004)**

  - Clayton D. Scott, Robert D. Nowak

  - [[Paper]](https://papers.nips.cc/paper/2625-on-the-adaptive-properties-of-decision-trees.pdf)

  

- **A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index (PAKDD 2004)**

  - Dan A. Simovici, Szymon Jaroszewicz

  - [[Paper]](https://www.researchgate.net/publication/2906289_A_Metric_Approach_to_Building_Decision_Trees_Based_on_Goodman-Kruskal_Association_Index)

## 2003

- **Rademacher Penalization over Decision Tree Prunings (ECML 2003)**

  - Matti Kääriäinen, Tapio Elomaa

  - [[Paper]](https://www.researchgate.net/publication/221112653_Rademacher_Penalization_over_Decision_Tree_Prunings)

  

- **Ensembles of Cascading Trees (ICDM 2003)**

  - Jinyan Li, Huiqing Liu

  - [[Paper]](https://www.researchgate.net/publication/4047523_Ensembles_of_cascading_trees)

- **Postprocessing Decision Trees to Extract Actionable Knowledge (ICDM 2003)**

  - Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen

  - [[Paper]](https://pdfs.semanticscholar.org/b2c6/ff54c7aeefc70820ff04a8fc8b804012c504.pdf)

- **K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier (ICDM 2003)**

  - Tomoyuki Shibata, Takekazu Kato, Toshikazu Wada

  - [[Paper]](https://ieeexplore.ieee.org/abstract/document/1250997)

- **Identifying Markov Blankets with Decision Tree Induction (ICDM 2003)**

  - Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov

  - [[Paper]](https://www.semanticscholar.org/paper/Identifying-Markov-Blankets-with-Decision-Tree-Frey-Fisher/1aa0b0ede22f3963c923ea320a8bed91ac5aafbf)

- **Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy (ICDM 2003)**

  - Jin Huang, Jingjing Lu, Charles X. Ling

  - [[Paper]](https://pdfs.semanticscholar.org/8a73/74b98a9d94b8c01e996e72340f86a4327869.pdf)

- **Boosting Lazy Decision Trees (ICML 2003)**

  - Xiaoli Zhang Fern, Carla E. Brodley

  - [[Paper]](https://www.aaai.org/Papers/ICML/2003/ICML03-026.pdf)

- **Decision Tree with Better Ranking (ICML 2003)**

  - Charles X. Ling, Robert J. Yan

  - [[Paper]](https://www.aaai.org/Papers/ICML/2003/ICML03-064.pdf)

- **Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction (IJCAI 2003)**

  - David Page, Soumya Ray

  - [[Paper]](http://pages.cs.wisc.edu/~dpage/ijcai3.pdf)

- **Efficient Decision Tree Construction on Streaming Data (KDD 2003)**

  - Ruoming Jin, Gagan Agrawal

  - [[Paper]](http://web.cse.ohio-state.edu/~agrawal.28/p/sigkdd03.pdf)

- **PaintingClass: Interactive Construction Visualization and Exploration of Decision Trees (KDD 2003)**

  - Soon Tee Teoh, Kwan-Liu Ma

  - [[Paper]](https://www.researchgate.net/publication/220272011_PaintingClass_interactive_construction_visualization_and_exploration_of_decision_trees)

- **Accurate Decision Trees for Mining High-Speed Data Streams (KDD 2003)**

  - João Gama, Ricardo Rocha, Pedro Medas

  - [[Paper]](http://staff.icar.cnr.it/manco/Teaching/2006/datamining/Esami2006/ArticoliSelezionatiDM/SEMINARI/Mining%20Data%20Streams/kdd03.pdf)

- **Near-Minimax Optimal Classification with Dyadic Classification Trees (NIPS 2003)**

  - Clayton D. Scott, Robert D. Nowak

  - [[Paper]](http://nowak.ece.wisc.edu/nips03.pdf)

  

- **Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule (PAKDD 2003)**

  - Chenzhou Ye, Jie Yang, Lixiu Yao, Nian-yi Chen

  - [[Paper]](https://www.researchgate.net/publication/220895462_Improving_Performance_of_Decision_Tree_Algorithms_with_Multi-edited_Nearest_Neighbor_Rule)

- **Arbogodai: a New Approach for Decision Trees (PKDD 2003)**

  - Djamel A. Zighed, Gilbert Ritschard, Walid Erray, Vasile-Marian Scuturici

  - [[Paper]](http://mephisto.unige.ch/pub/publications/gr/zig_rit_arbo_pkdd03.pdf)

- **Communication and Memory Efficient Parallel Decision Tree Construction (SDM 2003)**

  - Ruoming Jin, Gagan Agrawal

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.4.3059&rep=rep1&type=pdf)

- **Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials (SDM 2003)**

  - Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore

  - [[Paper]](https://www.researchgate.net/publication/220907147_Decision_Tree_Classification_of_Spatial_Data_Patterns_From_Videokeratography_Using_Zernike_Polynomials)

## 2002

- **Multiclass Alternating Decision Trees (ECML 2002)**

  - Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall

  - [[Paper]](https://www.cs.waikato.ac.nz/~bernhard/papers/ecml2002.pdf)

  

- **Heterogeneous Forests of Decision Trees (ICANN 2002)**

  - Krzysztof Grabczewski, Wlodzislaw Duch

  - [[Paper]](https://fizyka.umk.pl/publications/kmk/02forest.pdf)

- **Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (ICDM 2002)**

  - Jinyan Li, Limsoon Wong

  - [[Paper]](https://ieeexplore.ieee.org/document/1184021)

- **Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (ICDM 2002)**

  - Jinyan Li, Limsoon Wong

  - [[Paper]](https://www.comp.nus.edu.sg/~wongls/psZ/decisionTreeandEP-2.ps)

- **Learning Decision Trees Using the Area Under the ROC Curve (ICML 2002)**

  - César Ferri, Peter A. Flach, José Hernández-Orallo

  - [[Paper]](http://dmip.webs.upv.es/papers/ICML2002.pdf)

- **Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction (ICML 2002)**

  - Fumio Takechi, Einoshin Suzuki

  - [[Paper]](https://www.researchgate.net/publication/221346121_Finding_an_Optimal_Gain-Ratio_Subset-Split_Test_for_a_Set-Valued_Attribute_in_Decision_Tree_Induction)

- **Efficiently Mining Frequent Trees in a Forest (KDD 2002)**

  - Mohammed Javeed Zaki

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.160.8511&rep=rep1&type=pdf)

- **SECRET: a Scalable Linear Regression Tree Algorithm (KDD 2002)**

  - Alin Dobra, Johannes Gehrke

  - [[Paper]](http://www.cs.cornell.edu/people/dobra/papers/secret-extended.pdf)

- **Instability of Decision Tree Classification Algorithms (KDD 2002)**

  - Ruey-Hsia Li, Geneva G. Belford

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.12.8094&rep=rep1&type=pdf)

- **Extracting Decision Trees From Trained Neural Networks (KDD 2002)**

  - Olcay Boz

  - [[Paper]](http://dspace.library.iitb.ac.in/jspui/bitstream/10054/1285/1/5664.pdf)

- **Dyadic Classification Trees via Structural Risk Minimization (NIPS 2002)**

  - Clayton D. Scott, Robert D. Nowak

  - [[Paper]](https://papers.nips.cc/paper/2198-dyadic-classification-trees-via-structural-risk-minimization.pdf)

  

- **Approximate Splitting for Ensembles of Trees using Histograms (SDM 2002)**

  - Chandrika Kamath, Erick Cantú-Paz, David Littau

  - [[Paper]](https://pdfs.semanticscholar.org/0855/0a94993a268e4e3e99c41e7e0ee43eabd993.pdf)

## 2001

- **Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning (ACL 2001)**

  - Hideki Isozaki

  - [[Paper]](https://www.aclweb.org/anthology/P01-1041)

- **Message Length as an Effective Ockham's Razor in Decision Tree Induction (AISTATS 2001)**

  - Scott Needham, David L. Dowe

  - [[Paper]](www.gatsby.ucl.ac.uk/aistats/aistats2001/files/needham122.ps)

- **SQL Database Primitives for Decision Tree Classifiers (CIKM 2001)**

  - Kai-Uwe Sattler, Oliver Dunemann

  - [[Paper]](http://fusion.cs.uni-magdeburg.de/pubs/classprim.pdf)

  

- **A Unified Framework for Evaluation Metrics in Classification Using Decision Trees (ECML 2001)**

  - Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish

  - [[Paper]](https://scholar.harvard.edu/files/nkc/files/2015_framework_for_benefit_risk_assessment_value_in_health.pdf)

- **Backpropagation in Decision Trees for Regression (ECML 2001)**

  - Victor Medina-Chico, Alberto Suárez, James F. Lutsko

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-44795-4_30)

- **Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction (ECML 2001)**

  - Branko Kavsek, Nada Lavrac, Anuska Ferligoj

  - [[Paper]](https://link.springer.com/content/pdf/10.1007/3-540-44795-4_22.pdf)

- **Mining Decision Trees from Data Streams in a Mobile Environment (ICDM 2001)**

  - Hillol Kargupta, Byung-Hoon Park

  - [[Paper]](https://ieeexplore.ieee.org/document/989530)

- **Efficient Determination of Dynamic Split Points in a Decision Tree (ICDM 2001)**

  - David Maxwell Chickering, Christopher Meek, Robert Rounthwaite

  - [[Paper]](https://pdfs.semanticscholar.org/3587/a245c34ea415b205a903bde3220eb533d1a7.pdf)

- **A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods (ICDM 2001)**

  - Bernard Zenko, Ljupco Todorovski, Saso Dzeroski

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.23.3118&rep=rep1&type=pdf)

- **Efficient Algorithms for Decision Tree Cross-Validation (ICML 2001)**

  - Hendrik Blockeel, Jan Struyf

  - [[Paper]](http://www.jmlr.org/papers/volume3/blockeel02a/blockeel02a.pdf)

- **Bias Correction in Classification Tree Construction (ICML 2001)**

  - Alin Dobra, Johannes Gehrke

  - [[Paper]](http://www.cs.cornell.edu/people/dobra/papers/icml2001-bias.pdf)

- **Breeding Decision Trees Using Evolutionary Techniques (ICML 2001)**

  - Athanassios Papagelis, Dimitrios Kalles

  - [[Paper]](http://www.gatree.com/data/BreedinDecisioTreeUsinEvo.pdf)

- **Obtaining Calibrated Probability Estimates from Decision Trees and Naive Bayesian Classifiers (ICML 2001)**

  - Bianca Zadrozny, Charles Elkan

  - [[Paper]](http://cseweb.ucsd.edu/~elkan/calibrated.pdf)

- **Temporal Decision Trees or the lazy ECU vindicated (IJCAI 2001)**

  - Luca Console, Claudia Picardi, Daniele Theseider Dupré

  - [[Paper]](https://www.researchgate.net/publication/220815333_Temporal_Decision_Trees_or_the_lazy_ECU_vindicated)

  

- **Data Mining Criteria for Tree-based Regression and Classification (KDD 2001)**

  - Andreas Buja, Yung-Seop Lee

  - [[Paper]](https://repository.upenn.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1406&context=statistics_papers)

- **A Decision Tree of Bigrams is an Accurate Predictor of Word Sense (NAACL 2001)**

  - Ted Pedersen

  - [[Paper]](https://www.aclweb.org/anthology/N01-1011)

  

- **Rule Reduction over Numerical Attributes in Decision Tree Using Multilayer Perceptron (PAKDD 2001)**

  - DaeEun Kim, Jaeho Lee

  - [[Paper]](https://dl.acm.org/citation.cfm?id=693490)

- **A Scalable Algorithm for Rule Post-pruning of Large Decision Trees (PAKDD 2001)**

  - Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45357-1_49)

- **Optimizing the Induction of Alternating Decision Trees (PAKDD 2001)**

  - Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby

  - [[Paper]](https://www.researchgate.net/publication/33051701_Optimizing_the_Induction_of_Alternating_Decision_Trees)

- **Interactive Construction of Decision Trees (PAKDD 2001)**

  - Jianchao Han, Nick Cercone

  - [[Paper]](https://pure.tue.nl/ws/files/3522084/672434611234867.pdf)

- **Bloomy Decision Tree for Multi-objective Classification (PKDD 2001)**

  - Einoshin Suzuki, Masafumi Gotoh, Yuta Choki

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-44794-6_36)

  

- **A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment (SDM 2001)**

  - Byung-Hoon Park, Rajeev Ayyagari, Hillol Kargupta

  - [[Paper]](https://archive.siam.org/meetings/sdm01/pdf/sdm01_19.pdf)

  

## 2000

- **Intuitive Representation of Decision Trees Using General Rules and Exceptions (AAAI 2000)**

  - Bing Liu, Minqing Hu, Wynne Hsu

  - [[Paper]](https://pdfs.semanticscholar.org/e284/96551e595f1850a53f93affa98919147712f.pdf)

- **Tagging Unknown Proper Names Using Decision Trees (ACL 2000)**

  - Frédéric Béchet, Alexis Nasr, Franck Genet

  - [[Paper]](https://www.aclweb.org/anthology/P00-1011)

- **Clustering Through Decision Tree Construction (CIKM 2000)**

  - Bing Liu, Yiyuan Xia, Philip S. Yu

  - [[Paper]](https://dl.acm.org/citation.cfm?id=354775)

- **Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modelling (ECML 2000)**

  - DaeEun Kim, Jaeho Lee

  - [[Paper]](https://link.springer.com/content/pdf/10.1007/3-540-45164-1_22.pdf)

- **Investigation and Reduction of Discretization Variance in Decision Tree Induction (ECML 2000)**

  - Pierre Geurts, Louis Wehenkel

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45164-1_17)

- **Nonparametric Regularization of Decision Trees (ECML 2000)**

  - Tobias Scheffer

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45164-1_36)

- **Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria (ICML 2000)**

  - Chris Drummond, Robert C. Holte

  - [[Paper]](https://pdfs.semanticscholar.org/160e/21c3acc925b60dc040cb1705e58bb166b045.pdf)

- **Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions (ICML 2000)**

  - Manu Sridharan, Gerald Tesauro

  - [[Paper]](https://manu.sridharan.net/files/icml00.pdf)

- **Growing Decision Trees on Support-less Association Rules (KDD 2000)**

  - Ke Wang, Senqiang Zhou, Yu He

  - [[Paper]](https://www2.cs.sfu.ca/~wangk/pub/kdd002.pdf)

- **Efficient Algorithms for Constructing Decision Trees with Constraints (KDD 2000)**

  - Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim

  - [[Paper]](http://www.softnet.tuc.gr/~minos/Papers/kdd00-cam.pdf)

- **Interactive Visualization in Mining Large Decision Trees (PAKDD 2000)**

  - Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira

  - [[Paper]](https://link.springer.com/content/pdf/10.1007/3-540-45571-X_40.pdf)

- **VQTree: Vector Quantization for Decision Tree Induction (PAKDD 2000)**

  - Shlomo Geva, Lawrence Buckingham

  - [[Paper]](https://link.springer.com/chapter/10.1007%2F3-540-45571-X_41)

- **Some Enhencements of Decision Tree Bagging (PKDD 2000)**

  - Pierre Geurts

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45372-5_14)

- **Combining Multiple Models with Meta Decision Trees (PKDD 2000)**

  - Ljupco Todorovski, Saso Dzeroski

  - [[Paper]](http://kt.ijs.si/bernard/mdts/pub01.pdf)

- **Induction of Multivariate Decision Trees by Using Dipolar Criteria (PKDD 2000)**

  - Leon Bobrowski, Marek Kretowski

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45372-5_33)

- **Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms (PKDD 2000)**

  - Nikos Drossos, Athanassios Papagelis, Dimitrios Kalles

  - [[Paper]](https://link.springer.com/chapter/10.1007/3-540-45372-5_40)

## 1999

- **Modeling Decision Tree Performance with the Power Law (AISTATS 1999)**

  - Lewis J. Frey, Douglas H. Fisher

  - [[Paper]](https://www.microsoft.com/en-us/research/wp-content/uploads/2017/01/ModelingTree.pdf)

- **Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens (AISTATS 1999)**

  - Louis Anthony Cox Jr.

  - [[Paper]](https://pdfs.semanticscholar.org/0d7b/1d55c5abfd024aacf645c66d0c90c283814e.pdf)

- **POS Tags and Decision Trees for Language Modeling (EMNLP 1999)**

  - Peter A. Heeman

  - [[Paper]](https://www.aclweb.org/anthology/W99-0617)

- **Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (ICML 1999)**

  - Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting

  - [[Paper]](https://pdfs.semanticscholar.org/067e/86836ddbcb5e2844e955c16e058366a18c77.pdf)

- **The Alternating Decision Tree Learning Algorithm (ICML 1999)**

  - Yoav Freund, Llew Mason

  - [[Paper]](https://cseweb.ucsd.edu/~yfreund/papers/atrees.pdf)

  - [[Code]](https://github.com/rajanil/mkboost)

- **Boosting with Multi-Way Branching in Decision Trees (NIPS 1999)**

  - Yishay Mansour, David A. McAllester

  - [[Paper]](https://papers.nips.cc/paper/1659-boosting-with-multi-way-branching-in-decision-trees.pdf)

## 1998

- **Learning Sorting and Decision Trees with POMDPs (ICML 1998)**

  - Blai Bonet, Hector Geffner

  - [[Paper]](https://bonetblai.github.io/reports/icml98-learning.pdf)

- **Using a Permutation Test for Attribute Selection in Decision Trees (ICML 1998)**

  - Eibe Frank, Ian H. Witten

  - [[Paper]](https://pdfs.semanticscholar.org/9aa9/21b0203e06e98b49bf726a33e124f4310ea3.pdf)

- **A Fast and Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization (ICML 1998)**

  - Michael J. Kearns, Yishay Mansour

  - [[Paper]](https://www.cis.upenn.edu/~mkearns/papers/pruning.pdf)

## 1997

- **Pessimistic Decision Tree Pruning Based Continuous-Time (ICML 1997)**

  - Yishay Mansour

  - [[Paper]](https://pdfs.semanticscholar.org/b6fc/e37612db10a9756b904b5e79e1144ca12574.pdf)

- **PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction (ICML 1997)**

  - Scott E. Decatur

  - [[Paper]](https://www.semanticscholar.org/paper/PAC-Learning-with-Constant-Partition-Classification-Decatur/dd205073aeb512ecd1e823b35f556058fdeea5e0)

- **Option Decision Trees with Majority Votes (ICML 1997)**

  - Ron Kohavi, Clayton Kunz

  - [[Paper]](https://pdfs.semanticscholar.org/383b/381d1ac0bb41ec595e0d1603ed642809eb86.pdf)

- **Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction (ICML 1997)**

  - Ricardo Vilalta, Larry A. Rendell

  - [[Paper]](https://pdfs.semanticscholar.org/1f73/d9d409a75d16871cfa1182ac72b37c839d86.pdf)

- **Functional Models for Regression Tree Leaves (ICML 1997)**

  - Luís Torgo

  - [[Paper]](https://pdfs.semanticscholar.org/48e4/b3187ca234308e97e1ac0cab84222c603bdd.pdf)

- **The Effects of Training Set Size on Decision Tree Complexity (ICML 1997)**

  - Tim Oates, David D. Jensen

  - [[Paper]](https://pdfs.semanticscholar.org/e003/9dbdec3bd4cfbb3273b623fbed2d6b2f0cc9.pdf)

- **Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis (NIPS 1997)**

  - Marcus Held, Joachim M. Buhmann

  - [[Paper]](https://papers.nips.cc/paper/1479-unsupervised-on-line-learning-of-decision-trees-for-hierarchical-data-analysis.pdf)

- **Data-Dependent Structural Risk Minimization for Perceptron Decision Trees (NIPS 1997)**

  - John Shawe-Taylor, Nello Cristianini

  - [[Paper]](https://papers.nips.cc/paper/1359-data-dependent-structural-risk-minimization-for-perceptron-decision-trees)

- **Generalization in Decision Trees and DNF: Does Size Matter (NIPS 1997)**

  - Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason

  - [[Paper]](https://papers.nips.cc/paper/1340-generalization-in-decision-trees-and-dnf-does-size-matter.pdf)

## 1996

- **Second Tier for Decision Trees (ICML 1996)**

  - Miroslav Kubat

  - [[Paper]](https://pdfs.semanticscholar.org/b619/7c531b1c83dfaa52563449f9b8248cc68c5a.pdf)

- **Non-Linear Decision Trees - NDT (ICML 1996)**

  - Andreas Ittner, Michael Schlosser

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.85.2133&rep=rep1&type=pdf)

- **Learning Relational Concepts with Decision Trees (ICML 1996)**

  - Peter Geibel, Fritz Wysotzki

  - [[Paper]](https://pdfs.semanticscholar.org/32f1/78d7266fee779257b87ac8f948951db57d1e.pdf)

## 1995

- **A Hill-Climbing Approach for Optimizing Classification Trees (AISTATS 1995)**

  - Xiaorong Sun, Steve Y. Chiu, Louis Anthony Cox Jr.

  - [[Paper]](https://link.springer.com/chapter/10.1007%2F978-1-4612-2404-4_11)

- **An Exact Probability Metric for Decision Tree Splitting (AISTATS 1995)**

  - J. Kent Martin

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.48.6378&rep=rep1&type=pdf)

- **On Pruning and Averaging Decision Trees (ICML 1995)**

  - Jonathan J. Oliver, David J. Hand

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.53.6733&rep=rep1&type=pdf)

- **On Handling Tree-Structured Attributed in Decision Tree Learning (ICML 1995)**

  - Hussein Almuallim, Yasuhiro Akiba, Shigeo Kaneda

  - [[Paper]](https://www.sciencedirect.com/science/article/pii/B9781558603776500116)

- **Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (ICML 1995)**

  - Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad

  - [[Paper]](https://pdfs.semanticscholar.org/3a05/8ab505f096b23962591bb14e495a543aa2a1.pdf)

- **Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves (ICML 1995)**

  - David J. Lubinsky

  - [[Paper]](https://www.sciencedirect.com/science/article/pii/B9781558603776500530)

- **Efficient Algorithms for Finding Multi-way Splits for Decision Trees (ICML 1995)**

  - Truxton Fulton, Simon Kasif, Steven Salzberg

  - [[Paper]](https://www.sciencedirect.com/science/article/pii/B9781558603776500384)

- **Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (ICML 1995)**

  - Peter Auer, Robert C. Holte, Wolfgang Maass

  - [[Paper]](https://igi-web.tugraz.at/PDF/77.pdf)

- **Boosting Decision Trees (NIPS 1995)**

  - Harris Drucker, Corinna Cortes

  - [[Paper]](http://papers.nips.cc/paper/1059-boosting-decision-trees.pdf)

- **Using Pairs of Data-Points to Define Splits for Decision Trees (NIPS 1995)**

  - Geoffrey E. Hinton, Michael Revow

  - [[Paper]](https://www.cs.toronto.edu/~hinton/absps/bcart.pdf)

- **A New Pruning Method for Solving Decision Trees and Game Trees (UAI 1995)**

  - Prakash P. Shenoy

  - [[Paper]](https://arxiv.org/abs/1302.4981)

## 1994

- **A Statistical Approach to Decision Tree Modeling (ICML 1994)**

  - Michael I. Jordan

  - [[Paper]](https://www.sciencedirect.com/science/article/pii/B9781558603356500519)

- **In Defense of C4.5: Notes Learning One-Level Decision Trees (ICML 1994)**

  - Tapio Elomaa

  - [[Paper]](http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.9386)

- **An Improved Algorithm for Incremental Induction of Decision Trees (ICML 1994)**

  - Paul E. Utgoff

  - [[Paper]](https://www.sciencedirect.com/science/article/pii/B9781558603356500465)

  

- **Decision Tree Parsing using a Hidden Derivation Model (NAACL 1994)**

  - Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, Salim Roukos

  - [[Paper]](http://acl-arc.comp.nus.edu.sg/archives/acl-arc-090501d3/data/pdf/anthology-PDF/H/H94/H94-1052.pdf)

## 1993

- **Using Decision Trees to Improve Case-Based Learning (ICML 1993)**

  - Claire Cardie

  - [[Paper]](https://www.cs.cornell.edu/home/cardie/papers/ml-93.ps)

  

## 1991

- **Context Dependent Modeling of Phones in Continuous Speech Using Decision Trees (NAACL 1991)**

  - Lalit R. Bahl, Peter V. de Souza, P. S. Gopalakrishnan, David Nahamoo, Michael Picheny

  - [[Paper]](https://www.aclweb.org/anthology/H91-1051.pdf)

## 1989

- **Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications (NIPS 1989)**

  - Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard

  - [[Paper]](https://papers.nips.cc/paper/203-performance-comparisons-between-backpropagation-networks-and-classification-trees-on-three-real-world-applications)

## 1988

- **Multiple Decision Trees (UAI 1988)**

  - Suk Wah Kwok, Chris Carter

  - [[Paper]](https://arxiv.org/abs/1304.2363)

## 1987

- **Decision Tree Induction Systems: A Bayesian Analysis (UAI 1987)**

  - Wray L. Buntine

  - [[Paper]](https://arxiv.org/abs/1304.2732)