by Kai-Zhu Huang, Hai-Qin Yang, Irwin King, Michael Lyu
Hardcover: 300 pages
Publisher: Springer (September 10, 2008)
ISBN-10: 3540794514
ISBN-13: 978-3540794516

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.

详细介绍在此：http://www.springer.com/book/978-3-540-79451-6