An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

ISBN: 0521780195

Category: Technical

Tag: Science/Engineering


Posted on 2007-12-18. By anonymous.

Description

An Introduction to Support Vector Machines and Other Kernel-based Learning MethodsPublisher: Cambridge University Press; 1 edition
Language: English
ISBN: 0521780195
Paperback: 189 pages
Data: March 28, 2000
Format: CHM
Description: This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further study.




Download - (3 Mb)

Sponsored High Speed Downloads
6615 dl's @ 3977 KB/s
Download Now [Full Version]
9554 dl's @ 2090 KB/s
Download Link 1 - Fast Download
9770 dl's @ 3842 KB/s
Download Mirror - Direct Download



Search More...
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Search free ebooks in ebookee.com!


Related Archive Books

Archive Books related to "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods":



Links
Download this book

Download links for "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods":

External Download Link1:


Related Books

  1. Ebooks list page : 1494
  2. 2018-09-21An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, by Nello Cristianini
  3. 2017-12-24[PDF] An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  4. 2013-06-06An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Repost)
  5. 2007-12-07An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  6. 2007-12-05An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  7. 2007-12-05An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  8. 2007-06-13An Introduction to Support Vector Machines and Other Kernel based Learning Methods
  9. 2007-06-13An Introduction to Support Vector Machines and Other Kernel based Learning Methods
  10. 2007-05-27An Introduction to Support Vector Machines and Other Kernel-based Learning Metho
  11. 2007-05-31An Introduction to Support Vector Machines and Other Kernel
  12. 2020-06-03Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)
  13. 2018-02-01[PDF] Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? - Removed
  14. 2017-11-28[PDF] Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)
  15. 2017-11-15[PDF] Support Vector Machines and Their Application in Chemistry and Biotechnology
  16. 2014-06-17Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? - Removed
  17. 2008-05-27Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  18. 2020-08-10Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/Crc Machine Learning & Pattern Recognition Series)
  19. 2020-01-22Twin Support Vector Machines: Models, Extensions and Applications (Studies in Computational Intelligence)
  20. 2019-03-24Learning and Soft Computing Support Vector Machines, Neural Networks, and Fuzzy Logic Models

Comments

No comments for "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top