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» Inferring Knowledge from a Large Semantic Network
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JACM
2010
137views more  JACM 2010»
14 years 10 months ago
Reconciling description logics and rules
Description logics (DLs) and rules are formalisms that emphasize different aspects of knowledge representation: whereas DLs are focused on specifying and reasoning about conceptual...
Boris Motik, Riccardo Rosati
ECCV
2008
Springer
15 years 1 months ago
Event Modeling and Recognition Using Markov Logic Networks
Abstract. We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems. Common sense domain knowledge is exploited t...
Son Dinh Tran, Larry S. Davis
ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 11 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
IWNAS
2008
IEEE
15 years 6 months ago
Adaptive Consistency Guarantees for Large-Scale Replicated Services
To maintain consistency, designers of replicated services have traditionally been forced to choose from either strong consistency guarantees or none at all. Realizing that a conti...
Yijun Lu, Ying Lu, Hong Jiang
SG
2005
Springer
15 years 5 months ago
Picturing Causality - The Serendipitous Semiotics of Causal Graphs
Abstract. Bayesian nets (BNs) appeared in the 1980s as a solution to computational and representational problems encountered in knowledge representation of uncertain information. S...
Eric Neufeld, Sonje Kristtorn