Advanced Topics in Science and Technology in China

Machine Learning

Modeling Data Locally and Globally

Authors: Huang, Kai-Zhu, Yang, Haiqin, Lyu, Michael R.

  • New unified theory
  • Detailed graphic illustration
  • Empirical validation for each model
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  • ISBN 978-3-540-79452-3
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About this book

Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but – more importantly – it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications.

Kaizhu Huang was a researcher at the Fujitsu Research and Development Center and is currently a research fellow in the Chinese University of Hong Kong. Haiqin Yang leads the image processing group at HiSilicon Technologies. Irwin King and Michael R. Lyu are professors at the Computer Science and Engineering department of the Chinese University of Hong Kong.

Table of contents (8 chapters)

Buy this book

eBook $139.00
price for USA
  • ISBN 978-3-540-79452-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase

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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning
Book Subtitle
Modeling Data Locally and Globally
Authors
Series Title
Advanced Topics in Science and Technology in China
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Distribution Rights
Distribution rights in China: Zhejiang University Press
eBook ISBN
978-3-540-79452-3
DOI
10.1007/978-3-540-79452-3
Series ISSN
1995-6819
Edition Number
1
Number of Pages
X, 169
Number of Illustrations and Tables
53 b/w illustrations
Additional Information
Jointly published with Zhejiang University Press
Topics