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NIPS
2000
15 years 6 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
JLP
2007
99views more  JLP 2007»
15 years 4 months ago
Resources in process algebra
The algebra of communicating shared resources (ACSR) is a timed process algebra which extends classical process algebras with the notion of a resource. It takes the view that the ...
Insup Lee, Anna Philippou, Oleg Sokolsky
JMLR
2002
115views more  JMLR 2002»
15 years 4 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
INFFUS
2010
143views more  INFFUS 2010»
15 years 3 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...
178
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ECAI
2010
Springer
15 years 2 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...