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NIPS
2008
15 years 2 months ago
Learning Bounded Treewidth Bayesian Networks
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
Gal Elidan, Stephen Gould
109
Voted
IJAR
2007
130views more  IJAR 2007»
15 years 14 days ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
110
Voted
INFOCOM
2010
IEEE
14 years 11 months ago
Bayesian Inference for Localization in Cellular Networks
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...
Hui Zang, François Baccelli, Jean Bolot
112
Voted
SEKE
2010
Springer
14 years 11 months ago
A Multi-State Bayesian Network for Shill Verification in Online Auctions
Online auction systems have made remarkable progress in recent years. However, one of the most severe and persistent problems in such systems is shilling behavior, which is a type ...
Ankit Goel, Haiping Xu, Sol M. Shatz
106
Voted
ISMIS
1994
Springer
15 years 4 months ago
Distributed Multi-Agent Probabilistic Reasoning With Bayesian Networks
Main stream approaches in distributed artificial intelligence (DAI) are essentially logic-based. Little has been reported to explore probabilistic approach in DAI. On the other han...
Yang Xiang