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

✍ Scribed by Kai-Zhu Huang, Haiqin Yang, Michael R. Lyu

Publisher: Springer
Year: 2008
Tongue: English
Leaves: 173
Series: Advanced Topics in Science and Technology in China
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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