Kernel methods and machine learning / S.Y. Kung, Princeton University.

"Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and s...

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Bibliographic Details

Main Author:	Kung, S. Y. (Sun Yuan)
Format:	Book
Language:	English
Published:	Cambridge ; New York : Cambridge University Press, 2014.
Subjects:	Support vector machines. Machine learning. Kernel functions.