Hierarchically compositional kernels for scalable nonparametric learning

Keyphrases

• Approximate Kernel 50%
• Arithmetic Complexity 50%
• Comprehensive Experiment 50%
• Data Dimensions 50%
• Data Domain 50%
• Fast Linear Algebra 50%
• Hierarchical Partition 50%
• High Computational Cost 50%
• Kernel Matrix 50%
• Kernel Methods 50%
• Learning Kernels 50%
• Low-rank Approximation 50%
• Low-rank Structure 50%
• Matching Performance 50%
• Memory Complexity 50%
• Nonparametric Learning 100%
• Novel Class 50%
• Nystrm Method 50%
• Off-diagonal 50%
• Strict Positive Definiteness 50%
• Training Examples 50%

Mathematics

• Approximates 100%
• Computational Cost 100%
• Diagonal 100%
• Empirical Complexity 100%
• Kernel Method 100%
• Linear Algebra 100%
• Lossless 100%
• Low-Rank Approximation 100%
• Matrix (Mathematics) 100%
• Positive Definite 100%

Computer Science

• Approximation (Algorithm) 100%
• Computational Cost 100%
• Data Dimension 100%
• Data Domain 100%
• Kernel Method 100%
• Positive Definite 100%
• Rank Approximation 100%
• Training Example 100%
• Underlying Data 100%