Bayesian Learning of Kernel Embeddings.

Seth R. Flaxman Dino Sejdinovic John P. Cunningham Sarah Filippi

Published in: UAI (2016)

Keyphrases

bayesian learning
relevance vector machine
model selection
posterior distribution
kernel function
feature space
support vector
kernel methods
gaussian processes
hyperparameters
denoising
low dimensional
higher order
high dimensional data
manifold learning