Support Vector Machines
Ingo Steinwart, Andreas Christmann
2008.
Abstract
Explains the principles that make support vector machines a successful modelling and prediction tool for a variety of applications. Rigorous treatment of state-of-the-art results on support vector machines. Suitable for both graduate students and researchers in statistical machine learning.Links
BibTeX
@book{steinwart08_svm,
title = {Support Vector Machines},
author = {Steinwart, Ingo and Christmann, Andreas},
year = {2008},
publisher = {Springer},
address = {New York},
doi = {10.1007/978-0-387-77242-4}
}