Hilbertian Metrics and Positive Definite Kernels on Probability Measures.
Matthias HeinOlivier BousquetPublished in: AISTATS (2005)
Keyphrases
- probability measures
- positive definite kernels
- kernel methods
- stochastic process
- positive definite
- hilbert space
- metric space
- reproducing kernel hilbert space
- probability measure
- graph kernels
- stochastic processes
- stochastic model
- belief functions
- markov chain
- high dimensional
- infinite dimensional
- conditional probabilities