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» PARM: A Genetic Evolved Algorithm To Predict Bioactivity
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GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 10 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
BMCBI
2006
115views more  BMCBI 2006»
13 years 6 months ago
Detecting recombination in evolving nucleotide sequences
Background: Genetic recombination can produce heterogeneous phylogenetic histories within a set of homologous genes. These recombination events can be obscured by subsequent resid...
Cheong Xin Chan, Robert G. Beiko, Mark A. Ragan
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 25 days ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 6 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
13 years 10 months ago
Classifier prediction based on tile coding
This paper introduces XCSF extended with tile coding prediction: each classifier implements a tile coding approximator; the genetic algorithm is used to adapt both classifier cond...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...