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SEMWEB
2005
Springer
15 years 6 months ago
PR-OWL: A Bayesian Ontology Language for the Semantic Web
This paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty. This not only h...
Paulo Cesar G. da Costa, Kathryn B. Laskey, Kennet...
123
Voted
FUIN
2008
108views more  FUIN 2008»
14 years 11 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
15 years 1 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen
109
Voted
LICS
2006
IEEE
15 years 6 months ago
Variables as Resource in Hoare Logics
Hoare logic is bedevilled by complex but coarse side conditions on the use of variables. We define a logic, free of side conditions, which permits more precise statements of a pr...
Matthew J. Parkinson, Richard Bornat, Cristiano Ca...