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Study Machine Learning: Modeling Data Locally and Globally

Posted on 2010-03-15




Name:Study Machine Learning: Modeling Data Locally and Globally
ASIN/ISBN:3540794514
Language:English
File size:11 Mb
ISBN: 3540794514
Publish Date: September 10, 2008
Pages: 300 pages
File Type: PDF
Other Info: Springer; 1.9MB
   Study Machine Learning: Modeling Data Locally and Globally

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Kai-Zhu Huang, Hai-Qin Yang, Irwin King, Michael Lyu, "Machine Learning: Modeling Data Locally and Globally"

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.

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