Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)

Category: Uncategorized


Posted on 2020-06-03, by books_lover.

Description

Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science) This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>
DOWNLOAD BOOK


Sponsored High Speed Downloads
9114 dl's @ 3585 KB/s
Download Now [Full Version]
5232 dl's @ 2038 KB/s
Download Link 1 - Fast Download
8007 dl's @ 2767 KB/s
Download Mirror - Direct Download



Search More...
Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)

Search free ebooks in ebookee.com!


Links
Download this book

Download links for "Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)":

External Download Link1:


Related Books

  1. Ebooks list page : 43799
  2. 2017-11-28[PDF] Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)
  3. 2018-09-21An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, by Nello Cristianini
  4. 2018-02-01[PDF] Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? - Removed
  5. 2017-12-24[PDF] An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  6. 2014-06-17Support Vector Machines and Evolutionary Algorithms for Classification: Single or Together? - Removed
  7. 2013-06-06An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Repost)
  8. 2007-12-18An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  9. 2007-12-07An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  10. 2007-12-05An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  11. 2007-12-05An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
  12. 2007-06-13An Introduction to Support Vector Machines and Other Kernel based Learning Methods
  13. 2007-06-13An Introduction to Support Vector Machines and Other Kernel based Learning Methods
  14. 2007-05-27An Introduction to Support Vector Machines and Other Kernel-based Learning Metho
  15. 2017-11-15[PDF] Support Vector Machines and Their Application in Chemistry and Biotechnology
  16. 2007-05-31An Introduction to Support Vector Machines and Other Kernel
  17. 2019-11-23Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks (SpringerBriefs in Computer Science)
  18. 2019-12-11Parallel Computing Hits the Power Wall: Principles, Challenges, and a Survey of Solutions (SpringerBriefs in Computer Science)
  19. 2019-11-22Broad Learning Through Fusions: An Application on Social Networks
  20. 2018-01-27[PDF] Computational Methods for Processing and Analysis of Biological Pathways (SpringerBriefs in Computer Science)

Comments

No comments for "Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)".


    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