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...

Täydet tiedot

Bibliografiset tiedot
Yhteisötekijä: SpringerLink (Online service)
Muut tekijät: Yu, Shi, Tranchevent,Léon-Charles, Moor, Bart, Moreau, Yves
Aineistotyyppi: Electronic Resource
Kieli:English
Julkaistu: Berlin, Heidelberg Springer 2011.
Aiheet:
Electronic books.
Machine learning.
Statistical matching.
Data mining.
Kernel functions.
Linkit:Available for University of the Philippines Diliman via SpringerLink. Click here to access