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» Using Learning for Approximation in Stochastic Processes
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ATAL
2003
Springer
14 years 19 days ago
Optimizing information exchange in cooperative multi-agent systems
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
Claudia V. Goldman, Shlomo Zilberstein
ECIR
2004
Springer
13 years 8 months ago
Fault-Tolerant Fulltext Information Retrieval in Digital Multilingual Encyclopedias with Weighted Pattern Morphing
This paper introduces a new approach to add fault-tolerance to a fulltext retrieval system. The weighted pattern morphing technique circumvents some of the disadvantages of the wid...
Wolfram M. Esser
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
ICCBR
2001
Springer
13 years 12 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
COLT
2004
Springer
14 years 24 days ago
A Statistical Mechanics Analysis of Gram Matrix Eigenvalue Spectra
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...
David C. Hoyle, Magnus Rattray