92 search results - page 3 / 19 » Tractable Bayesian Learning of Tree Belief Networks |
NIPS
2003
13 years 11 months ago
2003
Recent developments in grid-based and point-based approximation algorithms for POMDPs have greatly improved the tractability of POMDP planning. These approaches operate on sets of...
AI
2001
Springer
14 years 2 months ago
2001
Springer
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
CIMCA
2008
IEEE
14 years 4 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
ICANN
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Belief propagation (BP) is the calculation method which enables us to obtain the marginal probabilities with a tractable computational cost. BP is known to provide true m...
CORR
2012
Springer
12 years 5 months ago
2012
Springer
Compiling Bayesian networks (BNs) to junction trees and performing belief propagation over them is among the most prominent approaches to computing posteriors in BNs. However, bel...