Multi-label Feature Selection Method via Maximizing Correlation-based Criterion with Mutation Binary Bat Algorithm
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Jianhua Xu | Jun Li | Yuanyuan Tao | Jianhua Xu | Jun Li | Yu Tao
[1] Xin-She Yang,et al. Bat algorithm for multi-objective optimisation , 2011, Int. J. Bio Inspired Comput..
[2] Salwani Abdullah,et al. A Comparison of Multi-label Feature Selection Methods Using the Algorithm Adaptation Approach , 2015, IVIC.
[3] Qinghua Hu,et al. Robust Multi-label Feature Selection with Missing Labels , 2016, CCPR.
[4] Alex Alves Freitas,et al. A Multi-Label Correlation-Based Feature Selection Method for the Classification of Neuroblastoma Microarray Data , 2012, ICDM.
[5] Mark A. Hall,et al. Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning , 1999, ICML.
[6] Jianhua Xu,et al. Effective and Efficient Multi-label Feature Selection Approaches via Modifying Hilbert-Schmidt Independence Criterion , 2016, ICONIP.
[7] Chris H. Q. Ding,et al. Multi-label ReliefF and F-statistic feature selections for image annotation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Xin-She Yang,et al. A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.
[9] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[10] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[11] Francisco Charte,et al. Multilabel Classification: Problem Analysis, Metrics and Techniques , 2016 .
[12] Pascale Kuntz,et al. A Review on Dimensionality Reduction for Multi-Label Classification , 2019, IEEE Transactions on Knowledge and Data Engineering.
[13] L. Goddard. Information Theory , 1962, Nature.
[14] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[15] Jianhua Xu,et al. Multi-label regularized quadratic programming feature selection algorithm with Frank-Wolfe method , 2018, Expert Syst. Appl..
[16] Hossein Nezamabadi-pour,et al. Multilabel feature selection: A comprehensive review and guiding experiments , 2018, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..
[17] Jiawei Han,et al. Correlated multi-label feature selection , 2011, CIKM '11.
[18] Bianca Zadrozny,et al. Categorizing feature selection methods for multi-label classification , 2016, Artificial Intelligence Review.
[19] Vili Podgorelec,et al. Swarm Intelligence Algorithms for Feature Selection: A Review , 2018, Applied Sciences.
[20] Lei Zhao,et al. Multi-label Feature Selection Method Based on Multivariate Mutual Information and Particle Swarm Optimization , 2018, ICONIP.
[21] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[22] Alex Alves Freitas,et al. A new genetic algorithm for multi-label correlation-based feature selection , 2015, ESANN.
[23] ZhangMin-Ling,et al. Feature selection for multi-label naive Bayes classification , 2009 .
[24] Dae-Won Kim,et al. Fast multi-label feature selection based on information-theoretic feature ranking , 2015, Pattern Recognit..
[25] Qinghua Hu,et al. Multi-label feature selection based on max-dependency and min-redundancy , 2015, Neurocomputing.
[26] Dae-Won Kim,et al. SCLS: Multi-label feature selection based on scalable criterion for large label set , 2017, Pattern Recognit..
[27] Jianhua Xu,et al. A Multi-label feature selection algorithm based on multi-objective optimization , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[28] Chang Liu,et al. Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt Independence Criterion with Controlled Genetic Algorithm , 2018, ICONIP.
[29] Roberto Battiti,et al. Feature Selection Based on the Neighborhood Entropy , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[30] Xin-She Yang,et al. BBA: A Binary Bat Algorithm for Feature Selection , 2012, 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images.