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SEMWEB
2005
Springer
15 years 9 months ago
Representing Probabilistic Relations in RDF
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
Yoshio Fukushige
UM
2005
Springer
15 years 9 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
ECAI
2006
Springer
15 years 7 months ago
Improving Bound Propagation
Abstract. This paper extends previously proposed bound propagation algorithm [11] for computing lower and upper bounds on posterior marginals in Bayesian networks. We improve the b...
Bozhena Bidyuk, Rina Dechter
ICAI
2009
15 years 1 months ago
BayesOWL: A Prototype System for Uncertainty in Semantic Web
: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed...
Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
15 years 2 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...