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» Probabilistic Models of Verb-Argument Structure
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137
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RECOMB
2006
Springer
16 years 4 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler
UAI
2001
15 years 5 months ago
Learning the Dimensionality of Hidden Variables
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. Dete...
Gal Elidan, Nir Friedman
AIPS
2007
15 years 6 months ago
Approximate Solution Techniques for Factored First-Order MDPs
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
Scott Sanner, Craig Boutilier
145
Voted
UAI
2008
15 years 5 months ago
Learning Inclusion-Optimal Chordal Graphs
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...
Vincent Auvray, Louis Wehenkel
CEC
2009
IEEE
15 years 8 months ago
A novel EDAs based method for HP model protein folding
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...
Benhui Chen, Long Li, Jinglu Hu