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https://www.springer.com/gp/book/9780387772417
Ingo Steinwart is a researcher in the machine learning group at the Los Alamos National Laboratory. He works on support vector machines and related methods. Andreas Christmann is Professor of Stochastics in the Department of Mathematics at the University of Bayreuth. He works in particular on support vector machines and robust statistics.
https://www.goodreads.com/book/show/6055331-support-vector-machines
Jan 01, 2008 · Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications.4.6/5
https://link.springer.com/book/10.1007%2F978-0-387-77242-4
Ingo Steinwart is a researcher in the machine learning group at the Los Alamos National Laboratory. He works on support vector machines and related methods. Andreas Christmann is Professor of Stochastics in the Department of Mathematics at the University of Bayreuth. He works in particular on support vector machines and robust statistics.
https://www.bookdepository.com/Support-Vector-Machines-Ingo-Steinwart/9781489989635
Oct 31, 2014 · Ingo Steinwart is a researcher in the machine learning group at the Los Alamos National Laboratory. He works on support vector machines and related methods. Andreas Christmann is Professor of Stochastics in the Department of Mathematics at the University of Bayreuth. He works in particular on support vector machines and robust statistics. show more4.6/5(7)
https://www.semanticscholar.org/paper/Support-Vector-Machines-Steinwart-Christmann/04b23f577c20d1a0e2a67aadda555f58e6d23d6e
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of ...
https://books.google.com/books/about/Support_Vector_Machines.html?id=HUnqnrpYt4IC
Sep 15, 2008 · Ingo Steinwart is a researcher in the machine learning group at the Los Alamos National Laboratory. He works on support vector machines and related methods. Andreas Christmann is …5/5(1)
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