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» Bayesian Network, a Model for NLP
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UAI
1996
13 years 8 months ago
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
Dan Geiger, David Heckerman, Christopher Meek
SUM
2009
Springer
14 years 1 months ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
AP2PC
2003
Springer
14 years 9 days ago
Bayesian Network Trust Model in Peer-to-Peer Networks
Abstract. In this paper, we propose a Bayesian network-based trust model in peerto-peer networks. Since trust is multi-faceted, even in the same context, peers still need to develo...
Yao Wang, Julita Vassileva
GLOBECOM
2010
IEEE
13 years 5 months ago
A Graphical Framework for Spectrum Modeling and Decision Making in Cognitive Radio Networks
There are many key problems of decision making related to spectrum occupancies in cognitive radio networks. It is known that there exist correlations of spectrum occupancies in tim...
Husheng Li, Robert C. Qiu
ECTEL
2006
Springer
13 years 10 months ago
Bayesian Student Models Based on Item to Item Knowledge Structures
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
Michel Desmarais, Michel Gagnon