Support Vector Machines, 2008 Information Science and Statistics Series
Auteurs : Steinwart Ingo, Christmann Andreas
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.
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
Includes supplementary material: sn.pub/extras
Date de parution : 10-2014
Ouvrage de 603 p.
15.5x23.5 cm
Date de parution : 08-2008
Ouvrage de 603 p.
15.5x23.5 cm