Comprehensive study of feature selection methods to solve multicollinearity problem according to evaluation criteria
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[1] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[2] Charles Elkan,et al. Quadratic Programming Feature Selection , 2010, J. Mach. Learn. Res..
[3] Ronald G. Askin. Multicollinearity in regression: Review and examples , 1982 .
[4] Jacek M. Zurada,et al. Normalized Mutual Information Feature Selection , 2009, IEEE Transactions on Neural Networks.
[5] Sri Ramakrishna,et al. FEATURE SELECTION METHODS AND ALGORITHMS , 2011 .
[6] A. McQuarrie,et al. Regression and Time Series Model Selection , 1998 .
[7] David W. Aha,et al. A Comparative Evaluation of Sequential Feature Selection Algorithms , 1995, AISTATS.
[8] Steven G. Gilmour,et al. The Interpretation of Mallows's CP‐Statistic , 1996 .
[9] Hiroshi Motoda,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998, The Springer International Series in Engineering and Computer Science.
[10] R. Leardi. Genetic algorithms in chemometrics and chemistry: a review , 2001 .
[11] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[12] Swagatam Das,et al. Simultaneous feature selection and weighting - An evolutionary multi-objective optimization approach , 2015, Pattern Recognit. Lett..
[13] Edward Leamer. Multicollinearity: A Bayesian Interpretation , 1973 .
[14] L. Ladha,et al. FEATURE SELECTION METHODS AND ALGORITHMS , 2011 .
[15] M. El-Dereny,et al. Solving Multicollinearity Problem Using Ridge Regression Models , 2011 .
[16] Stephen P. Boyd,et al. Graph Implementations for Nonsmooth Convex Programs , 2008, Recent Advances in Learning and Control.
[17] Jinsong Leng,et al. A genetic Algorithm-Based feature selection , 2014 .
[18] Yewon Kim,et al. Solving Multicollinearity Problem Using Ridge Regression Models , 2015 .
[19] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[20] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Beat Pfister,et al. A Semidefinite Programming Based Search Strategy for Feature Selection with Mutual Information Measure , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Mark A. Hall,et al. Correlation-based Feature Selection for Machine Learning , 2003 .
[23] Frank E. Harrell,et al. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis , 2001 .
[24] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[25] David A. Belsley,et al. Regression Analysis and its Application: A Data-Oriented Approach.@@@Applied Linear Regression.@@@Regression Diagnostics: Identifying Influential Data and Sources of Collinearity , 1981 .
[26] Jon Atli Benediktsson,et al. Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization , 2015, IEEE Geoscience and Remote Sensing Letters.
[27] Alexandr Katrutsa,et al. Stress test procedure for feature selection algorithms , 2015 .