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Hamel, Lutz H.

Knowledge Discovery with Support Vector Machines

Hamel, Lutz H. - Knowledge Discovery with Support Vector Machines, ebook

106,40€

Ebook, ePUB with Adobe DRM
ISBN: 9781118211038
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Printing74 pages with an additional page accrued every 10 hours, capped at 74 pages
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An easy-to-follow introduction to support vector machines

This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:

  • Knowledge discovery environments

  • Describing data mathematically

  • Linear decision surfaces and functions

  • Perceptron learning

  • Maximum margin classifiers

  • Support vector machines

  • Elements of statistical learning theory

  • Multi-class classification

  • Regression with support vector machines

  • Novelty detection

Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.

Author(s)
Publisher
John Wiley and Sons, Inc.
Publication year
2009
Language
en
Edition
1
Series
Wiley Series on Methods and Applications in Data Mining
Page amount
300 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (ePUB)
9781118211038
Printed ISBN
9780470371923

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