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» A Least-Certainty Heuristic for Selective Search
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IJCNN
2006
IEEE
14 years 3 months ago
A Heuristic for Free Parameter Optimization with Support Vector Machines
— A heuristic is proposed to address free parameter selection for Support Vector Machines, with the goals of improving generalization performance and providing greater insensitiv...
Matthew Boardman, Thomas P. Trappenberg
CP
2005
Springer
14 years 2 months ago
Search Heuristics and Heavy-Tailed Behaviour
Abstract. The heavy-tailed phenomenon that characterises the runtime distributions of backtrack search procedures has received considerable attention over the past few years. Some ...
Tudor Hulubei, Barry O'Sullivan
PR
2008
131views more  PR 2008»
13 years 9 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
AAAI
2008
13 years 11 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
13 years 16 days ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin