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» Local Search for Very Large SAT Problems
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128
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AAAI
2000
15 years 5 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
196
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RECOMB
2002
Springer
16 years 4 months ago
Discovering local structure in gene expression data: the order-preserving submatrix problem
This paper concerns the discovery of patterns in gene expression matrices, in which each element gives the expression level of a given gene in a given experiment. Most existing me...
Amir Ben-Dor, Benny Chor, Richard M. Karp, Zohar Y...
141
Voted
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 7 months ago
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
Martin Gruber, Jano I. van Hemert, Günther R....
122
Voted
CVPR
2005
IEEE
16 years 5 months ago
Locally Adaptive Support-Weight Approach for Visual Correspondence Search
In this paper, we present a new area-based method for visual correspondence search that focuses on the dissimilarity computation. Local and area-based matching methods generally m...
Kuk-Jin Yoon, In-So Kweon
110
Voted
ICRA
2003
IEEE
147views Robotics» more  ICRA 2003»
15 years 9 months ago
A genetic algorithm for simultaneous localization and mapping
— This paper addresses the problem of simultaneous localization and mapping (SLAM) by a mobile robot. The SLAM problem is defined as a global optimization problem in which the o...
Tom Duckett