共 50 条
- [32] A Novel Method of Sparse Least Squares Support Vector Machines in Class Empirical Feature Space NEURAL INFORMATION PROCESSING, ICONIP 2012, PT II, 2012, 7664 : 475 - 482
- [33] 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
- [34] Feature Selection via Scaling Factor Integrated Multi-Class Support Vector Machines PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2017, : 3168 - 3174
- [35] Feature selection for bagging of support vector machines PRICAI 2006: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 4099 : 271 - 277
- [36] Feature analysis: Support vector machines approaches IMAGE EXTRACTION, SEGMENTATION, AND RECOGNITION, 2001, 4550 : 245 - 251
- [37] Feature Extraction Using Support Vector Machines NEURAL INFORMATION PROCESSING: MODELS AND APPLICATIONS, PT II, 2010, 6444 : 108 - 115
- [38] Stable Feature Selection with Support Vector Machines AI 2015: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2015, 9457 : 298 - 308