Learning with Kernels： Support Vector Machines, Regularization, Optimization, and Beyond

剧情简介：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 SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tas...(展开全部)

作者：Bernhard Schlkopf

出版社：The MIT Press

ISBN：9780262194754