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» Probabilistic Modeling for Structural Change Inference
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ICLP
2010
Springer
15 years 1 months ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian
ICVS
2003
Springer
15 years 2 months ago
A Self-Referential Perceptual Inference Framework for Video Interpretation
This paper presents an extensible architectural model for general content-based analysis and indexing of video data which can be customised for a given problem domain. Video interp...
Christopher Town, David Sinclair
AAAI
2008
14 years 12 months ago
Lifted Probabilistic Inference with Counting Formulas
Lifted inference algorithms exploit repeated structure in probabilistic models to answer queries efficiently. Previous work such as de Salvo Braz et al.'s first-order variabl...
Brian Milch, Luke S. Zettlemoyer, Kristian Kerstin...
IJCAI
2001
14 years 11 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
MLG
2007
Springer
15 years 3 months ago
Inferring Vertex Properties from Topology in Large Networks
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
Janne Sinkkonen, Janne Aukia, Samuel Kaski