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  • Homepage - learn/scikit-learn), [PyPI](https://pypi.org/project/scikit-learn/))
  • CRAN
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  • Particle Swarm Optimization
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  • Greedy Function Approximation: A Gradient Boosting Machine
  • Code - selector/))
  • MLJ
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  • Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatic - Laure Boulesteix, Silke Janitza, Jochen Kruppa, Inke R. Konig*
  • Random Forests
  • Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
  • An Introduction to Variational Autoencoders
  • Wiki
  • An Introduction to Variable and Feature Selection
  • A Survey on Feature Selection
  • Feature Selection: A Data Perspective
  • Consistent Feature Selection for Pattern Recognition in Polynomial Time
  • sklearn
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  • Wiki - learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html))
  • Wiki - learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html))
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  • Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection - Jie Zhao, Mikel Lujan*
  • Feature Selection Based on Joint Mutual Information
  • Estimating mutual information
  • Link
  • Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
  • The Feature Selection Problem: Traditional Methods and a New Algorithm
  • Relief-Based Feature Selection: Introduction and Review
  • Wiki
  • Markov Blanket based Feature Selection: A Review of Past Decade
  • Bayesian Network Induction via Local Neighborhoods
  • Toward Optimal Feature Selection
  • Time and Sample Efficient Discovery of Markov Blankets and Direct Causal Relations
  • Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
  • Consistency-based search in feature selection
  • Searching for Interacting Features
  • Floating search methods in feature selection
  • Adaptive floating search methods in feature selection
  • Feature Selection using PSO-SVM - Jui Tu, Li-Yeh Chuang, Jun-Yang Chang, Cheng-Hong Yang*
  • CRAN
  • GitLab
  • Variable selection and validation in multivariate modelling
  • Wrappers for feature subset selection
  • Regression Shrinkage and Selection via the lasso
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  • Conditional Variable Importance for Random Forests - Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis*
  • Correlation and variable importance in random forests - Pierre*
  • Feature Selection for Unsupervised Learning
  • Laplacian Score for Feature Selection
  • Spectral Feature Selection forSupervised and Unsupervised Learning
  • Autoencoders, Unsupervised Learning, and Deep Architectures
  • Concrete Autoencoders for Differentiable Feature Selection and Reconstruction
  • Stability of Feature Selection Algorithms: a study on high dimensional spaces
  • Robust Feature Selection Using Ensemble Feature Selection Techniques
  • Stability Selection
  • A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
  • The best way to select features
  • Feature Selection Methods for Uplift Modeling
  • A Feature Subset Selection Algorithm AutomaticRecommendation Method
  • Metalearning for Choosing Feature Selection Algorithms in Data Mining: Proposal of a New Framework
  • A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity
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  • CRAN - Royón, Alfonso Jiménez-Vílchez, Antonio Arauzo-Azofra, José Manuel Benítez*
  • CRAN - project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf))
  • Code - project.org/web/packages/spikeSlabGAM/), [Paper](https://www.jstatsoft.org/article/view/v043i14))
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