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» Feature Subset Selection Using a Genetic Algorithm
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120
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JAIR
2010
131views more  JAIR 2010»
15 years 1 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
182
Voted
BMCBI
2005
169views more  BMCBI 2005»
15 years 2 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
115
Voted
CEC
2003
IEEE
15 years 8 months ago
Digital circuit design through simulated evolution (SimE)
In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection an...
Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-S...
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 8 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
119
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BMCBI
2007
128views more  BMCBI 2007»
15 years 2 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini