203 search results - page 12 / 41 » Hierarchical Gaussian Process Regression |
NIPS
2001
13 years 9 months ago
2001
We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. A...
CDC
2008
IEEE
13 years 9 months ago
2008
IEEE
In this paper we propose a new nonparametric approach to identification of linear time invariant systems using subspace methods. The nonparametric paradigm to prediction of station...
ILP
2003
Springer
14 years 25 days ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
CDC
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
NIPS
2007
13 years 9 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...