Improving Classification Performance by Merging Distinct Feature Sets of Similar Quality Generated by Multiple Initializations of mRMR
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[1] Huan Liu,et al. Toward integrating feature selection algorithms for classification and clustering , 2005, IEEE Transactions on Knowledge and Data Engineering.
[2] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[3] J.C. Rajapakse,et al. SVM-RFE With MRMR Filter for Gene Selection , 2010, IEEE Transactions on NanoBioscience.
[4] Mark A. Hall,et al. Correlation-based Feature Selection for Machine Learning , 2003 .
[5] A. Asuncion,et al. UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences , 2007 .
[6] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Benjamin Haibe-Kains,et al. mRMRe: an R package for parallelized mRMR ensemble feature selection , 2013, Bioinform..
[8] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[9] David W. Aha,et al. A Comparative Evaluation of Sequential Feature Selection Algorithms , 1995, AISTATS.
[10] F. Wilcoxon,et al. A simplified method of evaluating dose-effect experiments. , 1948, The Journal of pharmacology and experimental therapeutics.
[11] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[12] Tong Zhang,et al. Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations , 2011, IEEE Transactions on Information Theory.
[13] Constantine Kotropoulos,et al. Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition , 2008, Signal Process..
[14] Sascha Meudt,et al. Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition , 2014, 2014 22nd International Conference on Pattern Recognition.
[15] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[16] Christian A. Rees,et al. Systematic variation in gene expression patterns in human cancer cell lines , 2000, Nature Genetics.
[17] Ash A. Alizadeh,et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.
[18] Deng Cai,et al. Laplacian Score for Feature Selection , 2005, NIPS.
[19] Richard Weber,et al. A wrapper method for feature selection using Support Vector Machines , 2009, Inf. Sci..
[20] D. Botstein,et al. A gene expression database for the molecular pharmacology of cancer , 2000, Nature Genetics.
[21] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[22] Jacek M. Zurada,et al. Normalized Mutual Information Feature Selection , 2009, IEEE Transactions on Neural Networks.
[23] Steve R. Gunn,et al. Result Analysis of the NIPS 2003 Feature Selection Challenge , 2004, NIPS.
[24] Yvan Saeys,et al. Robust Feature Selection Using Ensemble Feature Selection Techniques , 2008, ECML/PKDD.
[25] Jane Labadin,et al. Feature selection based on mutual information , 2015, 2015 9th International Conference on IT in Asia (CITA).
[26] 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.