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» Boosting Complete Techniques Thanks to Local Search Methods
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ICCV
2011
IEEE
12 years 6 months ago
Complementary Hashing for Approximate Nearest Neighbor Search
Recently, hashing based Approximate Nearest Neighbor (ANN) techniques have been attracting lots of attention in computer vision. The data-dependent hashing methods, e.g., Spectral...
Hao Xu, Jingdong Wang, Zhu Li, Gang Zeng, Shipeng ...
AAAI
1998
13 years 7 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
MEMETIC
2010
311views more  MEMETIC 2010»
13 years 1 months ago
Iterated local search with Powell's method: a memetic algorithm for continuous global optimization
In combinatorial solution spaces Iterated Local Search (ILS) turns out to be exceptionally successful. The question arises: is ILS also capable of improving the optimization proces...
Oliver Kramer
ML
2000
ACM
150views Machine Learning» more  ML 2000»
13 years 6 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
CADE
1998
Springer
13 years 10 months ago
System Description: CRIL Platform for SAT
The CRIL multi-strategy platform for SAT includes a whole family of local search techniques and some of the best Davis and Putnam strategies for checking propositional satis abilit...
Bertrand Mazure, Lakhdar Sais, Éric Gr&eacu...