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IJCAI
2007
13 years 9 months ago
Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
Chitta Baral, Matt Hunsaker
ARGMAS
2004
Springer
14 years 1 months ago
Revising Beliefs Through Arguments: Bridging the Gap Between Argumentation and Belief Revision in MAS
This paper compares within the MAS framework two separate threads in the formal study of epistemic change: belief revision and argumentation theories. Belief revision describes how...
Fabio Paglieri, Cristiano Castelfranchi
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
14 years 24 days ago
End-to-end service failure diagnosis using belief networks
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Malgorzata Steinder, Adarshpal S. Sethi
ICML
2009
IEEE
14 years 8 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
CAEPIA
2009
Springer
13 years 9 months ago
Base Belief Change for Finitary Monotonic Logics
We slightly improve on characterization results already in the literature for base revision. We show that in order to axiomatically characterize revision operators in a logic the o...
Pere Pardo, Pilar Dellunde, Lluis Godo