A novel multi-class SVM model using second-order cone constraints

Keyphrases

• Benchmark Dataset 50%
• Class number 50%
• Classification Function 50%
• Duality Theory 50%
• Ellipsoid 50%
• Equidistant Points 50%
• Geometric Interpretation 50%
• Kernel-based Classification 50%
• Maximum Margin 50%
• Multicategory 50%
• One-class Support Vector Machine (OCSVM) 100%
• Optimization Model 50%
• Performance Prediction 50%
• Second-order Cone Constraints 100%
• Second-order Cone Programming 50%
• SVM Model 100%

Computer Science

• Geometric Interpretation 33%
• Predictive Performance 33%
• Support Vector Machine 100%
• Support Vector Machine 33%
• Training Instance 33%