Kernel choice and classifiability for RKHS embeddings of probability distributions

Keyphrases

• Probability Distribution 100%
• Characteristic Kernel 100%
• Finite Sample 100%
• Classifiability 100%
• Sample Estimates 100%
• Kernel Classifier 100%
• Kernel Choice 100%
• Low Bias 50%
• Fast Convergence 50%
• Reproducing Kernel Hilbert Space 50%
• Homogeneity Test 50%
• Probability Measure 50%
• Distance Measure 50%
• Noncompact 50%
• Distance between Distributions 50%
• Non-translation 50%
• Maximum Mean Discrepancy 50%
• Gaussian Kernel 50%
• Strictly Positive Definite Kernels 50%
• Translation Invariant Kernel 50%
• Learning Kernels 50%
• Computability 50%
• Compact Domain 50%

Mathematics

• Probability Distribution 100%
• Sample Estimate 100%
• Gaussian Distribution 50%
• Positive Definite 50%
• Probability Theory 50%
• Hilbert Space 50%
• Homogeneity Testing 50%
• Probability Measure 50%
• Coincides 50%
• Supremum 50%