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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
16 years 1 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
IICAI
2003
15 years 9 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
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 1 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto
EH
2003
IEEE
100views Hardware» more  EH 2003»
16 years 26 days ago
Learning for Evolutionary Design
This paper describes a technique for evolving similar solutions to similar configuration design problems. Using the configuration design of combination logic circuits as a testb...
Sushil J. Louis
ICTAI
1997
IEEE
15 years 11 months ago
GA-Based Performance Analysis of Network Protocols
This paper tackles the problem of analyzing the correctness and performance of a computer network protocol. Given the complexity of the problem, no currently used technique is abl...
Mario Baldi, Fulvio Corno, Maurizio Rebaudengo, Gi...