486 search results - page 53 / 98 » A Bayesian Framework for Reinforcement Learning |
PKDD
2005
Springer
14 years 2 months ago
2005
Springer
For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
COGSCI
2010
13 years 9 months ago
2010
Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
SDM
2010
SIAM
13 years 10 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
CORR
2000
Springer
13 years 8 months ago
2000
Springer
: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informativ...