This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
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Selected collection of recent research on multi-objective approach to machine learning Recent developments in evolutionary multi-objective optimization Applies the concept of Pareto-optimality to machine learning
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Produktdetaljer
ISBN
9783642067969
Publisert
2010-11-22
Utgiver
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
14
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