Variational Information Maximization for Feature Selection
暂无分享,去创建一个
[1] James Bailey,et al. Can high-order dependencies improve mutual information based feature selection? , 2016, Pattern Recognit..
[2] Shakir Mohamed,et al. Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning , 2015, NIPS.
[3] 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.
[4] Martin J. Wainwright,et al. Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization , 2008, IEEE Transactions on Information Theory.
[5] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[6] Venu Govindaraju,et al. Parallel Feature Selection Inspired by Group Testing , 2014, NIPS.
[7] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[8] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[9] David Barber,et al. The IM algorithm: a variational approach to Information Maximization , 2003, NIPS 2003.
[10] Vir V. Phoha,et al. On the Feature Selection Criterion Based on an Approximation of Multidimensional Mutual Information , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Ron Kohavi,et al. Feature Selection for Knowledge Discovery and Data Mining , 1998 .
[12] 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.
[13] Abhimanyu Das,et al. Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection , 2011, ICML.
[14] Gavin Brown,et al. Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection , 2012, J. Mach. Learn. Res..
[15] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[16] Brian C. Ross. Mutual Information between Discrete and Continuous Data Sets , 2014, PloS one.
[17] F. Fleuret. Fast Binary Feature Selection with Conditional Mutual Information , 2004, J. Mach. Learn. Res..
[18] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[19] David D. Lewis,et al. Feature Selection and Feature Extraction for Text Categorization , 1992, HLT.
[20] Yong Wang,et al. Conditional Mutual Information‐Based Feature Selection Analyzing for Synergy and Redundancy , 2011, ETRI Journal.
[21] James Bailey,et al. Effective global approaches for mutual information based feature selection , 2014, KDD.
[22] John E. Moody,et al. Data Visualization and Feature Selection: New Algorithms for Nongaussian Data , 1999, NIPS.
[23] Charles Elkan,et al. Quadratic Programming Feature Selection , 2010, J. Mach. Learn. Res..
[24] Dahua Lin,et al. Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion , 2006, ECCV.