A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking

[1]  Sheng-yi Jiang,et al.  Efficient feature selection based on correlation measure between continuous and discrete features , 2016, Inf. Process. Lett..

[2]  Parham Moradi,et al.  Relevance-redundancy feature selection based on ant colony optimization , 2015, Pattern Recognit..

[3]  David Correa Martins,et al.  A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks , 2014, Inf. Sci..

[4]  S. Billings.  Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains , 2013 .

[5]  Gavin Brown,et al.  Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection , 2012, J. Mach. Learn. Res..

[6]  Daren Yu,et al.  Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection , 2011, Int. J. Comput. Intell. Syst..

[7]  Jiawei Han,et al.  Generalized Fisher Score for Feature Selection , 2011, UAI.

[8]  Gheith A. Abandah,et al.  Feature Selection for Recognizing Handwritten Arabic Letters , 2011 .

[9]  Filiberto Pla,et al.  Supervised feature selection by clustering using conditional mutual information-based distances , 2010, Pattern Recognit..

[10]  Yonghong Peng,et al.  A novel feature selection approach for biomedical data classification , 2010, J. Biomed. Informatics.

[11]  Pavel Pudil,et al.  Efficient Feature Subset Selection and Subset Size Optimization , 2010 .

[12]  Yan Li,et al.  Estimation of Mutual Information: A Survey , 2009, RSKT.

[13]  Jacek M. Zurada,et al.  Normalized Mutual Information Feature Selection , 2009, IEEE Transactions on Neural Networks.

[14]  Heng Tao Shen,et al.  Principal Component Analysis , 2009, Encyclopedia of Biometrics.

[15]  Shih-Wei Lin,et al.  Particle swarm optimization for parameter determination and feature selection of support vector machines , 2008, Expert Syst. Appl..

[16]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[17]  Stephen A. Billings,et al.  Feature Subset Selection and Ranking for Data Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  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.

[19]  Huan Liu,et al.  Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..

[20]  A. Kraskov,et al.  Estimating mutual information. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  Carsten O. Daub,et al.  Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data , 2004, BMC Bioinformatics.

[22]  Chris H. Q. Ding,et al.  Minimum redundancy feature selection from microarray gene expression data , 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

[23]  Mark A. Hall,et al.  Correlation-based Feature Selection for Machine Learning , 2003 .

[24]  Chong-Ho Choi,et al.  Input Feature Selection by Mutual Information Based on Parzen Window , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[25]  Chong-Ho Choi,et al.  Input feature selection for classification problems , 2002, IEEE Trans. Neural Networks.

[26]  O. Nelles.  Nonlinear System Identification , 2001 .

[27]  Martyn G. Ford,et al.  Unsupervised Forward Selection: A Method for Eliminating Redundant Variables , 2000, J. Chem. Inf. Comput. Sci..

[28]  Pavel Paclík,et al.  Adaptive floating search methods in feature selection , 1999, Pattern Recognit. Lett..

[29]  Igor Vajda,et al.  Estimation of the Information by an Adaptive Partitioning of the Observation Space , 1999, IEEE Trans. Inf. Theory.

[30]  Jihoon Yang,et al.  Feature Subset Selection Using a Genetic Algorithm , 1998, IEEE Intell. Syst..

[31]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[32]  Huan Liu,et al.  Feature Selection for Classification , 1997, Intell. Data Anal..

[33]  Daphne Koller,et al.  Toward Optimal Feature Selection , 1996, ICML.

[34]  Moon,et al.  Estimation of mutual information using kernel density estimators. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[35]  A. Ganapathiraju,et al.  LINEAR DISCRIMINANT ANALYSIS - A BRIEF TUTORIAL , 1995 .

[36]  Yifeng Wang,et al.  Information structure analysis for quantitative assessment of mineral resources and the discovery of a silver deposit , 1994 .

[37]  Josef Kittler,et al.  Floating search methods in feature selection , 1994, Pattern Recognit. Lett..

[38]  Ron Kohavi,et al.  Irrelevant Features and the Subset Selection Problem , 1994, ICML.

[39]  David B. Skalak,et al.  Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms , 1994, ICML.

[40]  Roberto Battiti,et al.  Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.

[41]  Wentian Li.  Mutual information functions versus correlation functions , 1990 .

[42]  Jack Sklansky,et al.  A note on genetic algorithms for large-scale feature selection , 1989, Pattern Recognit. Lett..

[43]  R. Moddemeijer.  On estimation of entropy and mutual information of continuous distributions , 1989 .

[44]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[45]  Robert F. Tate,et al.  Correlation Between a Discrete and a Continuous Variable. Point-Biserial Correlation , 1954 .