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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond by Alexander J. Smola, Bernhard Schlkopf

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Alexander J. Smola, Bernhard Schlkopf ebook
ISBN: 0262194759, 9780262194754
Publisher: The MIT Press
Format: pdf
Page: 644

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning). Conference on Computer Vision and Pattern Recognition (CVPR), 2001 ↑ Scholkopf and A. Applying Knowledge Management Techniques for Building Corporate Memories http://rapidshare.com/files/117882794/book56.rar. "Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)" "Bernhard Schlkopf, Alexander J. Bernhard Schlkopf, Alexander J. Learning with Kernels : Support Vector Machines, Regularization, Optimization, and Beyond. 577, 580, Gaussian Processes for Machine Learning (MIT Press). John Shawe-Taylor, Nello Cristianini. Will Read Data Mining: Practical Machine Learning Tools and Techniques 难度低使用 Kernel. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , MIT Press, Cambridge, 2001. Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond.