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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 8 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 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
GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
14 years 24 days ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
TSMC
1998
126views more  TSMC 1998»
13 years 7 months ago
Decentralized adaptive fuzzy control of robot manipulators
—This paper develops a decentralized adaptive fuzzy control scheme for robot manipulators via a combination of genetic algorithm and gradient method. The controller for each link...
Yaochu Jin
CN
2008
176views more  CN 2008»
13 years 7 months ago
ARQ-based cross-layer optimization for wireless multicarrier transmission on cognitive radio networks
The primary feature of cognitive radios for wireless communication systems is the capability to optimize the relevant communication parameters given a dynamic wireless channel env...
Alexandre de Baynast, Petri Mähönen, Mar...