共 50 条
- [1] Genetic algorithms and kernel matrix-based criteria combined approach to perform feature and model selection for support vector machines World Academy of Science, Engineering and Technology, 2010, 64 : 85 - 94
- [2] Sparse Least Squares Support Vector Machines Based on Genetic Algorithms: A Feature Selection Approach ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT II, 2019, 11507 : 500 - 511
- [3] Feature selection for support vector machines by means of genetic algorithms 15TH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2003, : 142 - 148
- [5] Feature selection for support vector machines with RBF kernel Artificial Intelligence Review, 2011, 36 : 99 - 115
- [6] A Practical Approach to Model Selection for Support Vector Machines With a Gaussian Kernel IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 41 (02): : 330 - 340
- [7] Parsimonious feature extraction based on genetic algorithms and support vector machines ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 1, 2006, 3971 : 1387 - 1393
- [8] Several feature selection algorithms based on the discernibility of a feature subset and support vector machines Jisuanji Xuebao/Chinese Journal of Computers, 2014, 37 (08): : 1704 - 1718
- [9] Feature selection based on genetic algorithms and support vector machines for handwritten similar Chinese characters recognition PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 3600 - 3605
- [10] Parameter selection for support vector machines based on hybrid genetic algorithms Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 2008, 40 (05): : 688 - 691