Sparse probability regression by label partitioning

Keyphrases

• Support Vector Machine 100%
• Runtime Requirements 100%
• Label Space 100%
• Probability Regression 100%
• Label Partitioning 100%
• Multinomial Logistic Regression 50%
• Alignment Method 50%
• Kernel Machines 50%
• Feature Space 50%
• Reduced Memory 50%
• Linear Kernel 50%
• Support Vector 50%
• Learning Machine 50%
• Data Vector 50%
• Nonlinear Features 50%
• Generalization Performance 50%
• Iterative Alignment 50%
• Nonlinear Decision Boundary 50%
• Large Margin Learning 50%
• Nonlinear Classifier 50%
• KL Divergence 50%
• Sparse Training 50%

Computer Science

• Support Vector Machine 100%
• Time Requirement 100%
• Logistic Regression 50%
• Feature Space 50%
• Transforming Data 50%
• Kernel Machine 50%
• Support Vector 50%
• Generalization Performance 50%
• Decision Boundary 50%
• Machine Learning 50%