Studies in Computational Intelligence

Machine Learning Paradigms: Theory and Application

Editors: Hassanien, Aboul Ella (Ed.)

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  • Presents machine learning paradigms
  • Focuses on recent theory and applications
  • Written by experts in the field
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eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-030-02357-7
  • Digitally watermarked, DRM-free
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  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-030-02356-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classification problem, while the third part presents an overview of real-world applications of swarm-based optimization algorithms. The concept of machine learning (ML) is not new in the field of computing. However, due to the ever-changing nature of requirements in today’s world it has emerged in the form of completely new avatars. Now everyone is talking about ML-based solution strategies for a given problem set. The book includes research articles and expository papers on the theory and algorithms of machine learning and bio-inspiring optimization, as well as papers on numerical experiments and real-world applications.

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Table of contents (22 chapters)

  • Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient

    Saidi, Rania (et al.)

    Pages 3-24

  • Weighting Attributes and Decision Rules Through Rankings and Discretisation Parameters

    Stańczyk, Urszula

    Pages 25-43

  • Greedy Selection of Attributes to Be Discretised

    Baron, Grzegorz

    Pages 45-67

  • Machine Learning for Enhancement Land Cover and Crop Types Classification

    Laban, Noureldin (et al.)

    Pages 71-87

  • An Optimal Machine Learning Classification Model for Flash Memory Bit Error Prediction

    Fitzgerald, Barry (et al.)

    Pages 89-110

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-030-02357-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-030-02356-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Paradigms: Theory and Application
Editors
  • Aboul Ella Hassanien
Series Title
Studies in Computational Intelligence
Series Volume
801
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-02357-7
DOI
10.1007/978-3-030-02357-7
Hardcover ISBN
978-3-030-02356-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
IX, 474
Number of Illustrations
90 b/w illustrations, 152 illustrations in colour
Topics