Universal learning over related distributions and adaptive graph transduction

Keyphrases

• Graph Transduction 100%
• Universal Learning 100%
• Adaptive Graph 100%
• Sample Selection Bias 75%
• Transfer Learning 75%
• Distribution Difference 75%
• Training Data 50%
• Experiment Results 25%
• Motivation 25%
• Noisy-OR 25%
• Labeled Data 25%
• Unlabeled Data 25%
• Single Framework 25%
• Common Solution 25%
• Maximum Margin Principle 25%
• Specific Category 25%
• Competitive Method 25%
• Main Claim 25%
• Explicit Examples 25%
• Testing Data 25%
• Single Approach 25%
• Source Code 25%
• Exact Types 25%
• Target Domain 25%

Computer Science

• Transfer Learning 100%
• Unlabeled Data 33%
• Training Data 33%
• Source Codes 33%

Psychology

• Learning Transfer 100%