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» Removing the Genetics from the Standard Genetic Algorithm
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IICAI
2003
14 years 11 months ago
Performance Analysis of an Acyclic Genetic approach to Learn Bayesian Network Structure
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...
Pankaj B. Gupta, Vicki H. Allan
BMCBI
2005
163views more  BMCBI 2005»
14 years 9 months ago
CoaSim: A flexible environment for simulating genetic data under coalescent models
Background: Coalescent simulations are playing a large role in interpreting large scale intraspecific sequence or polymorphism surveys and for planning and evaluating association ...
Thomas Mailund, Mikkel H. Schierup, Christian N. S...
IJON
2006
103views more  IJON 2006»
14 years 10 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
PAAMS
2010
Springer
14 years 7 months ago
Variable Length-Based Genetic Representation to Automatically Evolve Wrappers
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract...
David F. Barrero, Antonio González-Pardo, M...
TSMC
2008
102views more  TSMC 2008»
14 years 9 months ago
Context-Dependent DNA Coding With Redundancy and Introns
Abstract--Deoxyribonucleic acid (DNA) coding methods determine the meaning of a certain character in individual chromosomes by the characters surrounding it. The meaning of each ch...
Peng Xiao, Prahlad Vadakkepat, Tong Heng Lee