Bayesian Optimization Meets Riemannian Manifolds in Robot Learning.

Noémie Jaquier Leonel Dario Rozo Sylvain Calinon Mathias Bürger

Published in: CoRR (2019)

Keyphrases

riemannian manifolds
euclidean space
feature space
bayesian networks
multi class classification
support vector
machine learning
maximum likelihood
covariance matrices
reproducing kernel hilbert space