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» The Probabilistic Method
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UAI
1998
13 years 11 months ago
Learning the Structure of Dynamic Probabilistic Networks
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Nir Friedman, Kevin P. Murphy, Stuart J. Russell
ICONIP
2009
13 years 7 months ago
Probabilistic Combination of Multiple Evidence
In pattern recognition systems, data fusion is an important issue and evidence theory is one such method that has been successful. Many researchers have proposed different rules fo...
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop...
IFM
2010
Springer
133views Formal Methods» more  IFM 2010»
13 years 8 months ago
Towards Probabilistic Modelling in Event-B
Abstract. Event-B provides us with a powerful framework for correctby-construction system development. However, while developing dependable systems we should not only guarantee the...
Anton Tarasyuk, Elena Troubitsyna, Linas Laibinis
INTERSPEECH
2010
13 years 4 months ago
Probabilistic integration of joint density model and speaker model for voice conversion
This paper describes a novel approach to voice conversion using both a joint density model and a speaker model. In voice conversion studies, approaches based on Gaussian Mixture M...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
AAAI
2011
12 years 10 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney