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» Beliefs in Agent Implementation
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UAI
1997
15 years 8 months ago
Exploring Parallelism in Learning Belief Networks
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
Tongsheng Chu, Yang Xiang
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 28 days ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
CVPR
2009
IEEE
1468views Computer Vision» more  CVPR 2009»
17 years 2 months ago
Hardware-Efficient Belief Propagation
Belief propagation (BP) is an effective algorithm for solving energy minimization problems in computer vision. However, it requires enormous memory, bandwidth, and computation beca...
Chao-Chung Cheng, Chia-Kai Liang, Homer H. Chen, L...
ICTAI
2009
IEEE
16 years 1 months ago
Collaborative Concept Learning: Non Individualistic vs Individualistic Agents
This article addresses collaborative learning in a multiagent system: each agent revises incrementally its beliefs B (a concept representation) to keep it consistent with the whol...
Gauvain Bourgne, Dominique Bouthinon, Amal El Fall...
DALT
2008
Springer
15 years 8 months ago
Combining Multiple Knowledge Representation Technologies into Agent Programming Languages
Abstract. In most agent programming languages in practice a programmer is committed to the use of a single knowledge representation technology. In this paper we argue this is not n...
Mehdi Dastani, Koen V. Hindriks, Peter Nová...