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» Learning Evaluation Functions for Large Acyclic Domains
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DSS
2007
127views more  DSS 2007»
13 years 8 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
14 years 8 days ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
Predicting phenotypic traits of prokaryotes from protein domain frequencies
Background: Establishing the relationship between an organism's genome sequence and its phenotype is a fundamental challenge that remains largely unsolved. Accurately predict...
Thomas Lingner, Stefanie Mühlhausen, Toni Gab...
ICML
1995
IEEE
14 years 4 days ago
Learning with Rare Cases and Small Disjuncts
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
Gary M. Weiss
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 8 days ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood