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 | Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) (1st Edition) by Alexander J. Smola, Bernhard Schlkopf, Francis Bach (Series Editor) Hardcover, 644 Pages, Published 2001 ISBN-10: 0-262-19475-9 / 0262194759 ISBN-13: 978-0-262-19475-4 / 9780262194754 In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SV | |