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Studies in Computational Intelligence

Multi-Objective Machine Learning

Editors: Jin, Yaochu (Ed.)

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eBook $269.00
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  • ISBN 978-3-540-33019-6
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Hardcover $339.00
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  • ISBN 978-3-540-30676-4
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Softcover $339.00
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  • ISBN 978-3-642-06796-9
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About this book

Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. 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.

Table of contents (6 chapters)

  • Multi-Objective Clustering and Cluster Validation

    Julia Handl, Joshua Knowles

    Pages 21-47

  • Feature Extraction Using Multi-Objective Genetic Programming

    Yang Zhang, Peter I Rockett

    Pages 75-99

  • Multi-Objective Algorithms for Neural Networks Learning

    Antônio Pádua Braga, Ricardo H. C. Takahashi, Marcelo Azevedo Costa, Roselito de Albuquerque Teixeira

    Pages 151-171

  • Multi-Objective Optimization of Support Vector Machines

    Thorsten Suttorp, Christian Igel

    Pages 199-220

  • Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers

    Yaochu Jin, Bernhard Sendhoff, Edgar Körner

    Pages 291-312

Buy this book

eBook $269.00
price for USA (gross)
  • ISBN 978-3-540-33019-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $339.00
price for USA
  • ISBN 978-3-540-30676-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $339.00
price for USA
  • ISBN 978-3-642-06796-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multi-Objective Machine Learning
Editors
  • Yaochu Jin
Series Title
Studies in Computational Intelligence
Series Volume
16
Copyright
2006
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-33019-6
DOI
10.1007/3-540-33019-4
Hardcover ISBN
978-3-540-30676-4
Softcover ISBN
978-3-642-06796-9
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XIV, 660
Number of Illustrations and Tables
254 b/w illustrations
Topics