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CISM International Centre for Mechanical Sciences

Principles of Nonparametric Learning

Editors: Györfi, László (Ed.)

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About this book

The book provides systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation and genetic programming. The book is mainly addressed to postgraduates in engineering, mathematics, computer science, and researchers in universities and research institutions.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-7091-2568-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $169.99
price for USA in USD
  • ISBN 978-3-211-83688-0
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Principles of Nonparametric Learning
Editors
  • László Györfi
Series Title
CISM International Centre for Mechanical Sciences
Series Volume
434
Copyright
2002
Publisher
Springer-Verlag Wien
Copyright Holder
Springer-Verlag Wien
eBook ISBN
978-3-7091-2568-7
DOI
10.1007/978-3-7091-2568-7
Softcover ISBN
978-3-211-83688-0
Series ISSN
0254-1971
Edition Number
1
Number of Pages
V, 335
Topics

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