Sparse Gaussian Process regression model based on ℓ 1/2 regularization.

Peng Kou Feng Gao

Published in: Appl. Intell. (2014)

Keyphrases

gaussian process regression
covariance function
gaussian processes
gaussian process
prior information
high dimensional
machine learning
reinforcement learning
worst case
upper bound
model selection
non stationary
sparse representation
bayesian framework