ENGLISH

Machine Learning: Modeling Data Locally and Globally (Advanced Topics in Science and Technology in China)

Book information

Publisher
Springer
Year
2008
ISBN
9783540794516, 3540794514
Open Library ID
OL22800830M
Language
english
Format
PDF
Filesize
2 MB (2503018 bytes)
Series
Advanced Topics in Science and Technology in China
Edition
1
Pages
173\173
Topic
Education
Library
flazx.com
Time added
2010-02-18 13:16:04

Description

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.

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