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» Building Relational World Models for Reinforcement Learning
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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
VLDB
1997
ACM
94views Database» more  VLDB 1997»
13 years 12 months ago
To Weave the Web
The paper discusses the issue of views in the Web context. We introduce a set of languages for managing and restructuring data coming from the World Wide Web. We present a specifi...
Paolo Atzeni, Giansalvatore Mecca, Paolo Merialdo
ICPR
2006
IEEE
14 years 8 months ago
Incremental Vehicle 3-D Modeling from Video
In this paper, we present a new model-based approach for building 3-D models of vehicles from color video provided by a traffic surveillance camera. We incrementally build 3D mode...
Bir Bhanu, Nirmalya Ghosh
IJCAI
1997
13 years 9 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
FLAIRS
2006
13 years 9 months ago
Corpus Based Unsupervised Labeling of Documents
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
Delip Rao, Deepak P, Deepak Khemani