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195
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EVOW
2000
Springer
15 years 10 months ago
2000
Springer
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
164
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HAIS
2008
Springer
15 years 7 months ago
2008
Springer
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
205
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BMCBI
2010
15 years 6 months ago
2010
Background: MapReduce is a parallel framework that has been used effectively to design largescale parallel applications for large computing clusters. In this paper, we evaluate th...
169
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EVOW
2009
Springer
16 years 1 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
186
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CEC
2009
IEEE
16 years 1 months ago
2009
IEEE
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...