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Knowledge Discovery with Support Vector Machines

Lutz H. Hamel
€129.99
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A01=Lutz H. Hamel
Author_Lutz H. Hamel
background
book
Category=UND
cohesive
cover
data
describing
discovery
discussion
easytofollow
environments
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
introduction
invaluable textbook
knowledge
machine
machines
mathematically
minimal
undergraduate
vector

Product details

  • ISBN 9780470371923
  • Weight: 549g
  • Dimensions: 163 x 241mm
  • Publication Date: 04 Sep 2009
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description
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.
About Lutz H. Hamel
Lutz Hamel, PhD, teaches at the University of Rhode Island, where he founded the machine learning and data mining group. His major research interests are computational logic, machine learning, evolutionary computation, data mining, bioinformatics, and computational structures in art and literature.

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