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» Compiling relational Bayesian networks for exact inference
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JMLR
2010
143views more  JMLR 2010»
13 years 3 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
IJAR
2008
167views more  IJAR 2008»
13 years 8 months ago
Approximate algorithms for credal networks with binary variables
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...
Jaime Shinsuke Ide, Fabio Gagliardi Cozman
EXACT
2009
13 years 6 months ago
Some Properties of Most Relevant Explanation
This paper provides a study of the theoretical properties of Most Relevant Explanation (MRE) [12]. The study shows that MRE defines an implicit soft relevance measure that enables ...
Changhe Yuan
JMLR
2010
140views more  JMLR 2010»
13 years 3 months ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
BMCBI
2006
117views more  BMCBI 2006»
13 years 8 months ago
The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees
Background: Computing exact multipoint LOD scores for extended pedigrees rapidly becomes infeasible as the number of markers and untyped individuals increase. When markers are exc...
Cornelis A. Albers, Martijn A. R. Leisink, Hilbert...