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AAAI
2000
15 years 8 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
DEXAW
2010
IEEE
150views Database» more  DEXAW 2010»
15 years 7 months ago
Search Strategies for Keyword-based Queries
Given a set of keywords, we find a maximum Web query (containing the most keywords possible) that respects userdefined bounds on the number of returned hits. We assume a real-world...
Matthias Hagen, Benno Stein
MM
2010
ACM
192views Multimedia» more  MM 2010»
15 years 7 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
TSMC
2002
137views more  TSMC 2002»
15 years 6 months ago
An evolutionary tabu search for cell image segmentation
Many problems in practically all fields of science, engineering and technology involve global optimization. It becomes more and more important to develop the efficient global opti...
Tianzi Jiang, Faguo Yang
MEMETIC
2010
311views more  MEMETIC 2010»
15 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