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» Updating beliefs with incomplete observations
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CSL
2010
Springer
14 years 9 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
14 years 10 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
15 years 3 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
15 years 3 months 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
80
Voted
AI
2011
Springer
14 years 4 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