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157
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ICML
2010
IEEE
15 years 4 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
140
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SIGIR
2008
ACM
15 years 3 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
116
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CDC
2010
IEEE
14 years 10 months ago
Preference elicitation in Fully Probabilistic Design of decision strategies
Any systematic decision-making design selects a decision strategy that makes the resulting closed-loop behaviour close to the desired one. Fully Probabilistic Design (FPD) describe...
Miroslav Kárný, Tatiana V. Guy
121
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UAI
1997
15 years 4 months ago
Score and Information for Recursive Exponential Models with Incomplete Data
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...
Bo Thiesson
117
Voted
ACL
2010
15 years 1 months ago
Unsupervised Event Coreference Resolution with Rich Linguistic Features
This paper examines how a new class of nonparametric Bayesian models can be effectively applied to an open-domain event coreference task. Designed with the purpose of clustering c...
Cosmin Adrian Bejan, Sanda M. Harabagiu