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» Embedded core testing using genetic algorithms
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PR
2008
93views more  PR 2008»
15 years 3 months ago
Genetic algorithm-based feature set partitioning for classification problems
Feature set partitioning generalizes the task of feature selection by partitioning the feature set into subsets of features that are collectively useful, rather than by finding a ...
Lior Rokach
EC
2010
176views ECommerce» more  EC 2010»
15 years 13 days ago
Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...
Roberto Santana, Pedro Larrañaga, Jos&eacut...
ICASSP
2009
IEEE
15 years 9 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 9 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
127
Voted
RSP
2005
IEEE
131views Control Systems» more  RSP 2005»
15 years 8 months ago
Models for Embedded Application Mapping onto NoCs: Timing Analysis
Networks-on-chip (NoCs) are an emergent communication infrastructure, which can be designed to deal with growing system complexity and technology evolution. The efficient use of N...
César A. M. Marcon, Márcio Eduardo K...