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» Probabilistic and Logical Beliefs
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 8 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
WS
2008
ACM
13 years 8 months ago
Managing uncertainty and vagueness in description logics for the Semantic Web
Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which a...
Thomas Lukasiewicz, Umberto Straccia
ATAL
2010
Springer
13 years 8 months ago
A probabilistic model for trust and reputation
This paper concerns the problem of agent trust in an electronic market place. We maintain that agent trust involves making decisions under uncertainty and therefore the phenomenon...
George Vogiatzis, Ian MacGillivray, Maria Chli
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
13 years 6 months ago
A probabilistic approach for control of a stochastic system from LTL specifications
We consider the problem of controlling a continuous-time linear stochastic system from a specification given as a Linear Temporal Logic (LTL) formula over a set of linear predicate...
Morteza Lahijanian, Sean B. Andersson, Calin Belta
ILP
2005
Springer
14 years 1 months ago
A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment
We propose a new approach to Inductive Logic Programming that systematically exploits caching and offers a number of advantages over current systems. It avoids redundant computati...
Héctor Corrada Bravo, David Page, Raghu Ram...