8 search results - page 2 / 2 » Automatic approximation of the marginal likelihood in non-Ga... |
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
JMLR
2008
13 years 5 months ago
2008
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...