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DAS
2006
Springer
14 years 25 days ago
Combining Multiple Classifiers for Faster Optical Character Recognition
Traditional approaches to combining classifiers attempt to improve classification accuracy at the cost of increased processing. They may be viewed as providing an accuracy-speed tr...
Kumar Chellapilla, Michael Shilman, Patrice Simard
ICDE
2006
IEEE
162views Database» more  ICDE 2006»
14 years 10 months ago
Efficient Batch Top-k Search for Dictionary-based Entity Recognition
We consider the problem of speeding up Entity Recognition systems that exploit existing large databases of structured entities to improve extraction accuracy. These systems requir...
Amit Chandel, P. C. Nagesh, Sunita Sarawagi
CIBCB
2005
IEEE
14 years 2 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
CEC
2009
IEEE
14 years 1 months ago
A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning
—A cooperative coevolutionary algorithm (CCEA) is an extension to an evolutionary algorithm (EA); it employs a divide and conquer strategy to solve an optimization problem. In it...
Tapabrata Ray, Xin Yao
GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
13 years 19 days ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson