5114 search results - page 13 / 1023 » Learning for Evolutionary Design |
129
Voted
CORR
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
112
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CEC
2005
IEEE
15 years 7 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
135
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
87
Voted
BIBM
2008
IEEE
15 years 8 months ago
2008
IEEE
Mapping B-cell epitopes plays an important role in vaccine design, immunodiagnostic tests, and antibody production. Because the experimental determination of B-cell epitopes is ti...
IAT
2008
IEEE
15 years 8 months ago
2008
IEEE
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...