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PRL
2008
81views more  PRL 2008»
13 years 10 months ago
Selecting and constructing features using grammatical evolution
A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolu...
Dimitris Gavrilis, Ioannis G. Tsoulos, Evangelos D...
CEC
2010
IEEE
13 years 8 months ago
Large scale global optimization using self-adaptive differential evolution algorithm
In this paper we present self-adaptive differential evolution algorithm jDElsgo on large scale global optimization. The experimental results obtained by our algorithm on benchmark ...
Janez Brest, Ales Zamuda, Iztok Fister, Mirjam Sep...
TKDE
2008
154views more  TKDE 2008»
13 years 10 months ago
Analyzing the Structure and Evolution of Massive Telecom Graphs
Abstract-- With ever growing competition in telecommunications markets, operators have to increasingly rely on business intelligence to offer the right incentives to their customer...
Amit Anil Nanavati, Rahul Singh, Dipanjan Chakrabo...
EVOW
2009
Springer
14 years 5 months ago
On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies
Motivated by parallel optimization, we experiment EDA-like adaptation-rules in the case of λ large. The rule we use, essentially based on estimation of multivariate normal algorit...
Fabien Teytaud, Olivier Teytaud
CIDM
2007
IEEE
14 years 4 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner