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

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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Bibliografiska uppgifter
Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Yu, Shi, Tranchevent,Léon-Charles, Moor, Bart, Moreau, Yves
Materialtyp: Electronic Resource
Språk:English
Publicerad: Berlin, Heidelberg Springer 2011.
Ämnen:
Electronic books.
Machine learning.
Statistical matching.
Data mining.
Kernel functions.
Länkar:Available for University of the Philippines Diliman via SpringerLink. Click here to access