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

Huang, Kai-Zhu; Yang, Hai-Qin; King, Irwin; Lyu, Michael R.

Hardcover

ISBN 10: 3540794514 ISBN 13: 9783540794516

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2008

Synopsis

"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.

About this title

Product Description

Machine Learning: Modeling Data Locally And Globally by Irwin King, Kai-Zhu Huang, Hai-Qin Yang, 9783540794516, Springer

Edition details

• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Publication date: 2008
• Language: English
• ISBN 10: 3540794514
• ISBN 13: 9783540794516
• Binding: Hardcover
• Number of pages: 179