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Title: GitHub - mlpapers/feature-selection: Awesome papers on Feature Selection

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An Introduction to Variable and Feature Selection	http://jmlr.csail.mit.edu/papers/volume3/guyon03a/guyon03a.pdf
A Survey on Feature Selection	https://www.sciencedirect.com/science/article/pii/S1877050916313047
Feature Selection: A Data Perspective	https://arxiv.org/pdf/1601.07996.pdf
Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review	https://arxiv.org/pdf/1905.02845.pdf
Consistent Feature Selection for Pattern Recognition in Polynomial Time	http://jmlr.csail.mit.edu/papers/volume8/nilsson07a/nilsson07a.pdf
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Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection	http://jmlr.csail.mit.edu/papers/volume13/brown12a/brown12a.pdf
Feature Selection Based on Joint Mutual Information	https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.4424
Estimating mutual information	https://arxiv.org/pdf/cond-mat/0305641.pdf
Link	http://home.penglab.com/proj/mRMR/
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Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy	http://home.penglab.com/papersall/docpdf/2005_TPAMI_FeaSel.pdf
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The Feature Selection Problem: Traditional Methods and a New Algorithm	https://www.aaai.org/Papers/AAAI/1992/AAAI92-020.pdf
Relief-Based Feature Selection: Introduction and Review	https://arxiv.org/pdf/1711.08421.pdf
Wiki	https://en.wikipedia.org/wiki/Markov_blanket
Markov Blanket based Feature Selection: A Review of Past Decade	http://www.iaeng.org/publication/WCE2010/WCE2010_pp321-328.pdf
Algorithms for Large Scale Markov Blanket Discovery	https://www.aaai.org/Papers/FLAIRS/2003/Flairs03-073.pdf
Bayesian Network Induction via Local Neighborhoods	http://robots.stanford.edu/papers/Margaritis99a.pdf
Toward Optimal Feature Selection	http://ilpubs.stanford.edu:8090/208/1/1996-77.pdf
Time and Sample Efficient Discovery of Markov Blankets and Direct Causal Relations	https://dl.acm.org/doi/10.1145/956750.956838
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution	https://www.public.asu.edu/~huanliu/papers/icml03.pdf
Consistency-based search in feature selection	https://www.public.asu.edu/~huanliu/papers/aij03.pdf
Searching for Interacting Features	https://www.public.asu.edu/~huanliu/papers/ijcai07.pdf
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Floating search methods in feature selection	https://www.academia.edu/15425286/Floating_search_methods_in_feature_selection
Adaptive floating search methods in feature selection	https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.5032
Wiki	https://en.wikipedia.org/wiki/Genetic_algorithm
Wiki	https://en.wikipedia.org/wiki/Particle_swarm_optimization
Particle Swarm Optimization	https://www.cs.tufts.edu/comp/150GA/homeworks/hw3/_reading6%201995%20particle%20swarming.pdf
Feature Selection using PSO-SVM	http://www.iaeng.org/IJCS/issues_v33/issue_1/IJCS_33_1_18.pdf
CRAN	https://cran.r-project.org/web/packages/Boruta/
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Boruta – A System for Feature Selection	https://www.mimuw.edu.pl/~ajank/papers/Kursa2010.pdf
Code	https://github.com/chasedehan/BoostARoota
GitLab	https://gitlab.com/CarlBrunius/MUVR
Variable selection and validation in multivariate modelling	https://academic.oup.com/bioinformatics/article/35/6/972/5085367
Wrappers for feature subset selection	http://machine-learning.martinsewell.com/feature-selection/KohaviJohn1997.pdf
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Regression Shrinkage and Selection via the lasso	https://statweb.stanford.edu/~tibs/lasso/lasso.pdf
Regularization and variable selection via the elastic net	https://web.stanford.edu/~hastie/Papers/B67.2%20(2005)%20301-320%20Zou%20&%20Hastie.pdf
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Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatic	https://epub.ub.uni-muenchen.de/13766/1/TR.pdf
Variable selection using random forests	https://hal.archives-ouvertes.fr/hal-00755489/file/PRLv4.pdf
Bias in random forest variable importance measures: Illustrations, sources and a solution	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1796903/pdf/1471-2105-8-25.pdf
Conditional Variable Importance for Random Forests	https://epub.ub.uni-muenchen.de/2821/1/deck.pdf
Correlation and variable importance in random forests	https://arxiv.org/pdf/1310.5726.pdf
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Greedy Function Approximation: A Gradient Boosting Machine	https://statweb.stanford.edu/~jhf/ftp/trebst.pdf
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Feature Selection for Unsupervised Learning	http://www.jmlr.org/papers/volume5/dy04a/dy04a.pdf
Laplacian Score for Feature Selection	https://papers.nips.cc/paper/2909-laplacian-score-for-feature-selection.pdf
Feature Selection Using Principal Feature Analysis	http://venom.cs.utsa.edu/dmz/techrep/2007/CS-TR-2007-011.pdf
Spectral Feature Selection forSupervised and Unsupervised Learning	https://www.public.asu.edu/~huanliu/papers/icml07.pdf
Unsupervised Feature Selection for Multi-Cluster Data	https://wwwx.cs.unc.edu/Courses/comp790-090-s11/Presentations/p333-cai.pdf
Wiki	https://en.wikipedia.org/wiki/Autoencoder
Autoencoders, Unsupervised Learning, and Deep Architectures	http://proceedings.mlr.press/v27/baldi12a/baldi12a.pdf
An Introduction to Variational Autoencoders	https://arxiv.org/pdf/1906.02691.pdf
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction	https://arxiv.org/pdf/1901.09346.pdf
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Stability of Feature Selection Algorithms: a study on high dimensional spaces	http://cui.unige.ch/~kalousis/papers/stability/KalousisPradosHilarioKIS2007.pdf
Robust Feature Selection Using Ensemble Feature Selection Techniques	http://bioinformatics.psb.ugent.be/pdf/publications/978-3-540-87481-2.pdf
Stability Selection	https://stat.ethz.ch/~nicolai/stability.pdf
A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets	https://arxiv.org/pdf/2005.05003.pdf
The best way to select features	https://arxiv.org/pdf/2005.12483.pdf
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Feature Selection Methods for Uplift Modeling	https://arxiv.org/pdf/2005.03447.pdf
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A Feature Subset Selection Algorithm AutomaticRecommendation Method	https://arxiv.org/pdf/1402.0570.pdf
Metalearning for Choosing Feature Selection Algorithms in Data Mining: Proposal of a New Framework	https://www.researchgate.net/profile/Antonio_Parmezan/publication/312482443_Metalearning_for_Choosing_Feature_Selection_Algorithms_in_Data_Mining_Proposal_of_a_New_Framework/links/5c3f0e7f92851c22a378a5a6/Metalearning-for-Choosing-Feature-Selection-Algorithms-in-Data-Mining-Proposal-of-a-New-Framework.pdf
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity	https://arxiv.org/pdf/2005.09856.pdf
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