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ICLP
2010
Springer
14 years 1 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
MVA
2007
112views Computer Vision» more  MVA 2007»
13 years 11 months ago
Probabilistically Semantic Labeling of IR Image for UAV
Applying computer vision technology to IR (Infra-Red) images for UAV (Unmanned Aerial Vehicle) applications is difficult due to its characteristics which differ from common image ...
Teng Li, Jihwan Woo, In-So Kweon
NAACL
2007
13 years 11 months ago
Probabilistic Generation of Weather Forecast Texts
This paper reports experiments in which pCRU — a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space — i...
Anja Belz
IJCAI
2001
13 years 11 months ago
IBAL: A Probabilistic Rational Programming Language
In a rational programming language, a program specifies a situation faced by an agent; evaluating the program amounts to computing what a rational agent would believe or do in the...
Avi Pfeffer
NIPS
2000
13 years 11 months ago
Speech Denoising and Dereverberation Using Probabilistic Models
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Hagai Attias, John C. Platt, Alex Acero, Li Deng