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» Learning the Structure of Dynamic Probabilistic Networks
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ICASSP
2009
IEEE
13 years 5 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori
AAAI
2006
13 years 9 months ago
Value-Function-Based Transfer for Reinforcement Learning Using Structure Mapping
Transfer learning concerns applying knowledge learned in one task (the source) to improve learning another related task (the target). In this paper, we use structure mapping, a ps...
Yaxin Liu, Peter Stone
AAAI
2006
13 years 9 months ago
Probabilistic Goal Recognition in Interactive Narrative Environments
Recent years have witnessed a growing interest in interactive narrative-centered virtual environments for education, training, and entertainment. Narrative environments dynamicall...
Bradford W. Mott, Sunyoung Lee, James C. Lester
TIST
2011
136views more  TIST 2011»
13 years 2 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih
IJCNN
2006
IEEE
14 years 1 months ago
A Structured Context Model for Grammar Learning
—We present a structured model of context that supports an integrated approach to language acquisition and use. The model extends an existing formal notation, Embodied Constructi...
Nancy Chang, Eva Mok