Ensemble feature selection: Homogeneous and heterogeneous approaches
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Kuncheva, 2003, Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy, Mach. Learn., 51, 181, 10.1023/A:1022859003006
Kuncheva, 2004
Bramer, 2007, 180
Yu, 2004, Efficient feature selection via analysis of relevance and redundancy, J. Mach. Learn. Res., 5, 1205
Guyon, 2006, 207
Joachims, 2002, Optimizing search engines using clickthrough data, 133
Guyon, 2003, An introduction to variable and feature selection, J. Mach. Learn. Res., 3, 1157
Hall, 2003, Benchmarking attribute selection techniques for discrete class data mining, Knowl. Data Eng., IEEE Trans., 15, 1437, 10.1109/TKDE.2003.1245283
Tsymbal, 2005, Diversity in search strategies for ensemble feature selection, Inf. Fusion, 6, 83, 10.1016/j.inffus.2004.04.003
Lichman, 2013, UCI machine learning repository
Bolón-Canedo, 2012, An ensemble of filters and classifiers for microarray data classification, Patt. Recognit., 45, 531, 10.1016/j.patcog.2011.06.006
Yang, 2011, Robust feature selection for microarray data based on multicriterion fusion, IEEE/ACM Trans. Comput. Biol. Bioinform. (TCBB), 8, 1080, 10.1109/TCBB.2010.103
Windeatt, 2011, Embedded feature ranking for ensemble mlp classifiers, IEEE Trans. Neural Netw., 22, 988, 10.1109/TNN.2011.2138158
Windeatt, 2007, Stopping Criteria for Ensemble-based Feature Selection, 271
Bolón-Canedo, 2014, Data classification using an ensemble of filters, Neurocomputing, 135, 13, 10.1016/j.neucom.2013.03.067
Olsson, 2006, Combining feature selectors for text classification, 798
Wang, 2010, Ensemble feature selection technique for software quality classification., 215
Wang, 2010, A comparative study of ensemble feature selection techniques for software defect prediction, 135
Yang, 2008, A Novel Ga-taguchi-based Feature Selection Method, 112
Abeel, 2010, Robust biomarker identification for cancer diagnosis with ensemble feature selection methods, Bioinformatics, 26, 392, 10.1093/bioinformatics/btp630
Ben Brahim, 2013, Robust ensemble feature selection for high dimensional data sets, 151
Seijo-Pardo, 2015, Ensemble Feature Selection for Rankings of Features, 29
Park, 1991, Universal approximation using radial-basis-function networks, Neural Comput., 3, 246, 10.1162/neco.1991.3.2.246
Bramer, 2013, Data for Data Mining, 9
Peng, 2005, Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy, Patt. Anal. Mach. Intell., IEEE Trans., 27, 1226, 10.1109/TPAMI.2005.159
Kononenko, 1994, Estimating attributes: analysis and extensions of relief, 171
Kira, 1992, The feature selection problem: Traditional methods and a new algorithm, 129
Guyon, 2002, Gene selection for cancer classification using support vector machines, Mach. Learn., 46, 389, 10.1023/A:1012487302797
Mejía-Lavalle, 2006, Feature selection with a perceptron neural net, 131
Lyerly, 1952, The average spearman rank correlation coefficient, Psychometrika, 17, 421, 10.1007/BF02288917
Abdi, 2007, The kendall rank correlation coefficient, Encyclopedia of Measurement and Statistics. Sage, Thousand Oaks, CA, 508
Kolde, 2012, Robust rank aggregation for gene list integration and meta-analysis, Bioinformatics, 28, 573, 10.1093/bioinformatics/btr709
Willett, 2013, Combination of similarity rankings using data fusion, J. Chem. Inf. Model, 53, 1, 10.1021/ci300547g
Aerts, 2006, Gene prioritization through genomic data fusion, Nat. Biotechnol., 24, 537, 10.1038/nbt1203
Bolón-Canedo, 2015, Recent advances and emerging challenges of feature selection in the context of big data, Knowl. Based Syst., 86, 33, 10.1016/j.knosys.2015.05.014
Bolón-Canedo, 2013, A review of feature selection methods on synthetic data, Knowl. Inf. Syst., 34, 483, 10.1007/s10115-012-0487-8
Khoshgoftaar, 2007, An empirical study of learning from imbalanced data using random forest, 2, 310
Mejía-Lavalle, 2006, Feature selection with a perceptron neural net, 131
Basu, 2006
Morán-Fernández, 2015, A Time Efficient Approach for Distributed Feature Selection Partitioning by Features, 245
Seijo-Pardo, 2016, Using a feature selection ensemble on DNA microarray datasets, 277
Hall, 2009, The weka data mining software: an update, ACM SIGKDD explorations newsletter, 11, 10, 10.1145/1656274.1656278
Burges, 1998, A tutorial on support vector machines for pattern recognition, Data Min. Knowl. Discov., 2, 121, 10.1023/A:1009715923555
Schölkopf, 1999
Vapnik, 2000
J. Li, K. Cheng, S. Wang, F. Morstatter, R. Trevino, J. Tang, H. Liu, Feature selection: a data perspective, arXiv preprint arXiv:1601.07996(2016).
Tukey, 1949, Comparing individual means in the analysis of variance, Biometrics, 99, 10.2307/3001913
Eiras-Franco, 2015, Paralelización de algoritmos de selección de caracteríticas en la plataforma weka, 949
M.A. Hall, Correlation-based feature selection of discrete and numeric class machine learning (2000).