22 search results - page 3 / 5 » Model-Based Bayesian Reinforcement Learning in Large Structu... |
ICCS
1993
Springer
13 years 9 months ago
1993
Springer
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
UAI
2003
13 years 7 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
JMLR
2006
13 years 5 months ago
2006
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
JMLR
2010
13 years 12 days ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
JMLR
2002
13 years 5 months ago
2002
In this paper we prove the so-called "Meek Conjecture". In particular, we show that if a DAG H is an independence map of another DAG G, then there exists a finite sequen...