Optimality of SVM: Novel proofs and tighter bounds

Keyphrases

• Tight Bounds 100%
• Support Vector Machine 100%
• Expected Error Rate 100%
• New Upper Bound 50%
• Error Rate 50%
• Simple Proof 50%
• Agnostic 50%
• Dual Space 50%
• Unified Framework 50%
• VC-dimension 50%
• Transductive SVM 50%
• Minimax Rate 50%
• Homogeneous and Non-homogeneous 50%
• AC Analysis 50%
• Primal Space 50%
• Large Margin Classifier 50%

Mathematics

• Optimality 100%
• Error Rate 100%
• Upper Bound 66%
• Constant Factor 66%
• Support Vector Machine 66%
• Minimax 33%
• Dual Space 33%
• VC Dimension 33%

Computer Science

• Support Vector Machine 100%
• Constant Factor 66%
• Support Vector Machine 66%
• Unified Framework 33%