[PDF.42zx] Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

[PDF.gp37] Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

Learning with Kernels: Support  Bernhard Schlkopf, Alexander J. Smola epub
Learning with Kernels: Support  Bernhard Schlkopf, Alexander J. Smola pdf download
Learning with Kernels: Support  Bernhard Schlkopf, Alexander J. Smola pdf file
Learning with Kernels: Support  Bernhard Schlkopf, Alexander J. Smola audiobook
Learning with Kernels: Support  Bernhard Schlkopf, Alexander J. Smola book review
Learning with Kernels: Support  Bernhard Schlkopf, Alexander J. Smola summary

 | #197471 in Books |  The MIT Press |  2001-12-15 | Original language:English | PDF # 1 |  10.00 x1.06 x8.00l,3.28 | File type: PDF | 644 pages

 | 

---

||3 of 3 people found the following review helpful.| This book is very good, up to date, and provides solid explanations. Not for your novice though|By Michael Valenzuela|This book is dedicated almost entirely to support vector machines for pattern recognition. This is not really an introductory text to machine learning though. For that I would recommend Statistical Learning Theory by Vapnik or Neural Networks and Learning Machin| ||Interesting and original. Learning with Kernels will make a fine textbook on this subject. (Grace Wahba, Bascom Professor of Statistics, University of Wisconsin Madison)

|This splendid book fills the need for a comprehensive treatment of ker

A comprehensive introduction to Support Vector Machines and related kernel methods.

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 differen...

You can specify the type of files you want, for your device.Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)   |  Bernhard Schlkopf, Alexander J. Smola. Just read it with an open mind because none of us really know.

Download Now