Max-margin classification of data with absent features

Keyphrases

• Data Classification 100%
• Missing Features 100%
• Max-margin 100%
• Absent Features 100%
• Function-based 50%
• Geometric Interpretation 50%
• Structural Domains 50%
• Preprocessing Techniques 50%
• Metabolic Pathway 50%
• Natural Images 50%
• Real-world Problems 50%
• Iterative Approach 50%
• Learning Framework 50%
• Computational Savings 50%
• Discriminative Model 50%
• Second-order Cone Programming 50%
• Binary Search 50%
• Missing at Random 50%
• Classification Procedure 50%
• Learning Classifiers 50%
• Edge Prediction 50%
• Max-margin Learning 50%
• Automobile Detection 50%
• Incomplete Data 50%
• Convex Problem 50%
• Relevant Subspace 50%
• Standard Quadratic Programming 50%
• Linearly Separable 50%

Computer Science

• Approximation (Algorithm) 100%
• Real-World Problem 100%
• Learning Framework 100%
• Objective Function 100%
• Preprocessing Phase 100%
• Geometric Interpretation 100%