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» Using evolution strategies to solve DEC-POMDP problems
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AI
2006
Springer
13 years 8 months ago
Cut-and-solve: An iterative search strategy for combinatorial optimization problems
Branch-and-bound and branch-and-cut use search trees to identify optimal solutions to combinatorial optimization problems. In this paper, we introduce an iterative search strategy...
Sharlee Climer, Weixiong Zhang
TFS
2008
157views more  TFS 2008»
13 years 7 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
ICIP
2002
IEEE
14 years 9 months ago
Nonparametric methods for image segmentation using information theory and curve evolution
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the ...
Alan S. Willsky, Anthony J. Yezzi Jr., John W. Fis...
AAAI
2000
13 years 9 months ago
Combining Knowledge and Search to Solve Single-Suit Bridge
In problem solving, it is often important not only to find a solution but also to be able to explain it. We use the game of Bridge to illustrate how tactics, which formalise domai...
Ian Frank, David A. Basin, Alan Bundy
HICSS
1994
IEEE
118views Biometrics» more  HICSS 1994»
14 years 3 days ago
A Distributed Architecture for an Instructable Problem Solver
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
Jacky Baltes, Bruce A. MacDonald