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Support Vector Machines

2008; Cambridge University Press; Linguagem: Inglês

10.1007/978-0-387-77242-4

2197-4128

Ingo Steinwart, Michael Jordan, Bernhard Schölkopf, Andreas Christmann, Jon Kleinberg, Olivier Bousquet, Christophe Croux, Ingrid Daubechies, Peter Davies, Michiel Debruyne, Holger Dette, Uwe Einmahl, Luisa Turrin Fernholz, Lorenzo Rosasco, Peter Filzmoser, Ursula Gather, Marc Hallin, Xiaofeng He, Matthias Hein, Aicke Hinrichs, John Howse, Mia Hubert, D. Hush, Thorsten Joachims, Matthias Kohl, Vladimir Koltchinskii, Nikolas List, Gábor Lugosi, Shahar Mendelson, Stephan Morgenthaler, Karl Mosler, Subrata Mukherjee, Hannu Oja, Davy Paindaveine, Stephanie Portnoy, H. Rieder, Elvezio Ronchetti, Peter J. Rousseeuw, Peter Ruckdeschel, Stefan Rüping, Marco Barrera, Clint Scovel, Herbert A. Simon, Stephen T. Smale, Alexander J. Smola, Johan A. K. Suykens, Vladimir Temlyakov, J. L. Teugels, James Theiler, A. B. Tsybakov, Dustin J. Tyler, Stefan Van Aelst, Arnout Van Messem, Ulrike von Luxburg, Claus Weihs, Ben Williamson, T Zhang, Dongmei Zhou, Fan We, Martin Alexander, U Anghel, M Gather, Andreas Hein, Malte Hinrichs, Peter Köhl, C Ruckdeschel, James C. Scovel, Arnold Theiler,

Computability, Logic, AI Algorithms

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 vec