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» First-order probabilistic inference
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AI
2008
Springer
14 years 11 months ago
MEBN: A language for first-order Bayesian knowledge bases
Although classical first-order logic is the de facto standard logical foundation for artificial intelligence, the lack of a built-in, semantically grounded capability for reasonin...
Kathryn B. Laskey
INFFUS
2010
143views more  INFFUS 2010»
14 years 11 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
102
Voted
PAMI
2010
174views more  PAMI 2010»
14 years 11 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
ACL
2010
14 years 10 months ago
A Rational Model of Eye Movement Control in Reading
A number of results in the study of realtime sentence comprehension have been explained by computational models as resulting from the rational use of probabilistic linguistic info...
Klinton Bicknell, Roger Levy
131
Voted
ECAI
2010
Springer
14 years 10 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...