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» A computational model of belief
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JAIR
2008
138views more  JAIR 2008»
14 years 9 months ago
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
Ya'akov Gal, Avi Pfeffer
JMLR
2006
125views more  JMLR 2006»
14 years 9 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
SIGIR
2004
ACM
15 years 3 months ago
Belief revision for adaptive information retrieval
Applying Belief Revision logic to model adaptive information retrieval is appealing since it provides a rigorous theoretical foundation to model partiality and uncertainty inheren...
Raymond Y. K. Lau, Peter Bruza, Dawei Song
WABI
2007
Springer
157views Bioinformatics» more  WABI 2007»
15 years 3 months ago
Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...
Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S...
ECCV
2006
Springer
15 years 11 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...