Kernel-based data fusion for machine learning methods and applications in bioinformatics and text mining

Data fusion problems arise frequently in many different fields.  This book provides a specific introduction to data fusion problems using support vector machines. In the first part, this book begins with a brief survey of additive models and Rayleigh quotient objectives in machine learning, and then...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Yu, Shi, Tranchevent,Léon-Charles, Moor, Bart, Moreau, Yves
Format:	Electronic Resource
Language:	English
Published:	Berlin, Heidelberg Springer 2011.
Subjects:	Electronic books. Machine learning. Statistical matching. Data mining. Kernel functions.
Online Access:	Available for University of the Philippines Diliman via SpringerLink. Click here to access