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» Updating beliefs with incomplete observations
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CSL
2010
Springer
13 years 7 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
ECAI
2010
Springer
13 years 8 months ago
Foundations of Tree-like Local Model Updates
Abstract. Model update is an approach to enhance model checking functions by providing computer aided modifications in system development [2, 9]. It has been observed that one majo...
Yan Zhang, Michael Kelly, Yi Zhou
ICTAI
2005
IEEE
14 years 1 months ago
Planning with POMDPs Using a Compact, Logic-Based Representation
Partially Observable Markov Decision Processes (POMDPs) provide a general framework for AI planning, but they lack the structure for representing real world planning problems in a...
Chenggang Wang, James G. Schmolze
ICIC
2005
Springer
14 years 28 days ago
Sequential Stratified Sampling Belief Propagation for Multiple Targets Tracking
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
AI
2011
Springer
13 years 2 months ago
First-order logical filtering
Logical filtering is the process of updating a belief state (set of possible world states) after a sequence of executed actions and perceived observations. In general, it is intr...
Afsaneh Shirazi, Eyal Amir