486 search results - page 43 / 98 » A Bayesian Framework for Reinforcement Learning |
NIPS
2003
14 years 11 months ago
2003
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
CORR
2012
Springer
13 years 5 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
SEMWEB
2004
Springer
15 years 3 months ago
2004
Springer
Researchers have recognized the need for more expressive descriptions of Web services. Most approaches have suggested using ontologies to either describe the Web services or to an...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...