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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
14 years 1 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
ICVS
2003
Springer
14 years 22 days ago
Recurrent Bayesian Network for the Recognition of Human Behaviors from Video
Abstract. We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, ...
Nicolas Moënne-Loccoz, François Br&eac...
ICMCS
2006
IEEE
117views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Soccer Highlight Detection using Two-Dependence Bayesian Network
Soccer highlight detection is an active research topic in recent years. One of the difficult problems is how to effectively fuse multi-modality cues, i.e. audio, visual and textu...
Jianguo Li, Tao Wang, Wei Hu, Mingliang Sun, Yimin...
EKAW
2006
Springer
13 years 11 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...
ATAL
2008
Springer
13 years 9 months ago
Efficient approximate inference in distributed Bayesian networks for MAS-based sensor interpretation
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
Norman Carver