<p><p>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
Kernel-based Data Fusion for Machine Learning: Methods and Applications in Bioinformatics and Text Mining
β Scribed by Shi Yu, LΓ©on-Charles Tranchevent, Bart De Moor, Yves Moreau (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2011
- Tongue
- English
- Leaves
- 228
- Series
- Studies in Computational Intelligence 345
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
Computational Intelligence; Artificial Intelligence (incl. Robotics); Computational Biology/Bioinformatics
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