Uncategorized

• An Introduction to Variable and Feature Selection
• A Survey on Feature Selection
• Feature Selection: A Data Perspective
• Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
• Consistent Feature Selection for Pattern Recognition in Polynomial Time
• sklearn
• Wiki
• Wiki - learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html))
• Wiki - learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html))
• Wiki
• 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
• Wiki
• Wiki
• Particle Swarm Optimization
• Feature Selection using PSO-SVM - Jui Tu, Li-Yeh Chuang, Jun-Yang Chang, Cheng-Hong Yang*
• CRAN
• Code
• GitLab
• Variable selection and validation in multivariate modelling
• Wrappers for feature subset selection
• Regression Shrinkage and Selection via the lasso
• Wiki
• Wiki
• Wiki
• Random Forests
• Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatic - Laure Boulesteix, Silke Janitza, Jochen Kruppa, Inke R. Konig*
• Conditional Variable Importance for Random Forests - Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis*
• Correlation and variable importance in random forests - Pierre*
• Wiki
• Greedy Function Approximation: A Gradient Boosting Machine
• Feature Selection for Unsupervised Learning
• Laplacian Score for Feature Selection
• Spectral Feature Selection forSupervised and Unsupervised Learning
• Wiki
• Autoencoders, Unsupervised Learning, and Deep Architectures
• An Introduction to Variational Autoencoders
• 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
• Homepage - feature))
• Link
• Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy
• Bayesian Network Induction via Local Neighborhoods
• Toward Optimal Feature Selection
• Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
• Consistency-based search in feature selection
• Searching for Interacting Features
• Wrappers for feature subset selection
• Approaches for Bayesian variable selection
• Feature Selection for Unsupervised Learning
• Spectral Feature Selection forSupervised and Unsupervised Learning
• Autoencoders, Unsupervised Learning, and Deep Architectures
• Stability of Feature Selection Algorithms: a study on high dimensional spaces
• Robust Feature Selection Using Ensemble Feature Selection Techniques
• Stability Selection
• Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
• Consistency-based search in feature selection
• Searching for Interacting Features
• Spectral Feature Selection forSupervised and Unsupervised Learning
• Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
• Consistency-based search in feature selection
• Searching for Interacting Features
• Spectral Feature Selection forSupervised and Unsupervised Learning
• An Introduction to Variable and Feature Selection
• Feature Selection: A Data Perspective
• Consistent Feature Selection for Pattern Recognition in Polynomial Time
• Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection - Jie Zhao, Mikel Lujan*
• Estimating mutual information
• Wiki
• The Feature Selection Problem: Traditional Methods and a New Algorithm
• Relief-Based Feature Selection: Introduction and Review
• Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
• Consistency-based search in feature selection
• Searching for Interacting Features
• Boruta – A System for Feature Selection
• Regularization and variable selection via the elastic net - 320%20Zou%20&%20Hastie.pdf) (2005) *Hui Zou, Trevor Hastie*
• Correlation and variable importance in random forests - Pierre*
• Laplacian Score for Feature Selection
• Feature Selection Using Principal Feature Analysis
• Spectral Feature Selection forSupervised and Unsupervised Learning
• Unsupervised Feature Selection for Multi-Cluster Data
• Concrete Autoencoders for Differentiable Feature Selection and Reconstruction
• 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
• A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity