Domain adaptation: Learning bounds and algorithms

Keyphrases

• Loss Function 100%
• Learning Algorithm 100%
• Learning Bound 100%
• Domain Adaptation Learning 100%
• Domain Adaptation 75%
• Adaptation 25%
• Large Classes 25%
• Large Families 25%
• Support Vector Machine 25%
• Regression-based Method 25%
• Labeled Sample 25%
• Finite Sample 25%
• Distance between Distributions 25%
• Complexity Bounds 25%
• Minimization Algorithm 25%
• Problem Analysis 25%
• Generalization Bounds 25%
• Rademacher Complexity 25%
• Kernel Ridge Regression 25%
• Adaptive Challenges 25%
• Vector Kernels 25%
• Distribution Discrepancy 25%

Mathematics

• Loss Function 100%
• Regularization 25%
• Test Data 25%
• Ridge Regression 25%
• Support Vector Machine 25%

Computer Science

• Domain Adaptation 100%
• Regularization 25%
• Support Vector Machine 25%
• Kernel Ridge Regression 25%