Double regularization methods for robust feature selection and SVM classification via DC programming

Keyphrases

• SVM Classification 100%
• Double Regularization 100%
• Difference of Convex Functions 100%
• Regularization Method 100%
• Feature Selection Classification 100%
• Robust Feature Selection 100%
• Support Vector Machine 66%
• Zero-norm 66%
• Second-order Cone Programming 33%
• Tikhonov Regularization 33%
• Data Distribution 33%
• Feature Removal 33%
• Regularizer 33%
• Programming Approaches 33%
• Nonconvex 33%
• Second-order Cone 33%
• Bad Data 33%
• Error Rate 33%
• Feature Selection Methods 33%
• Norm Penalty 33%
• Novel Formulations 33%
• Microarray Data 33%
• Embedded Feature Selection 33%

Computer Science

• Support Vector Machine 100%
• Feature Selection 100%
• Regularization Method 100%
• Convex Programming 100%
• Feature Extraction 100%
• Support Vector Machine 66%
• Convex Function 33%
• Tikhonov Regularization 33%
• Data Distribution 33%

Mathematics

• Regularization 100%
• Support Vector Machine 100%
• Convex Programming 100%
• Data Distribution 50%
• Error Rate 50%
• Convex Function 50%