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» First-order probabilistic inference
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CEC
2007
IEEE
14 years 4 months ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
NAACL
2010
13 years 7 months ago
Variational Inference for Adaptor Grammars
Adaptor grammars extend probabilistic context-free grammars to define prior distributions over trees with "rich get richer" dynamics. Inference for adaptor grammars seek...
Shay B. Cohen, David M. Blei, Noah A. Smith
CVPR
2005
IEEE
14 years 12 months ago
Probabilistic Modeling-Based Vessel Enhancement in Thoracic CT Scans
Vessel enhancement in volumetric data is a necessary prerequisite in various medical imaging applications with particular importance for automated nodule detection. Ideally, vesse...
Gady Agam, Changhua Wu
NIPS
2003
13 years 11 months ago
Sample Propagation
Rao–Blackwellization is an approximation technique for probabilistic inference that flexibly combines exact inference with sampling. It is useful in models where conditioning o...
Mark A. Paskin
ACL
2012
12 years 7 days ago
Semantic Parsing with Bayesian Tree Transducers
Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...
Bevan K. Jones, Mark Johnson, Sharon Goldwater