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Support Vector Machines and Perceptrons

- Learning, Optimization, Classification, and Application to Social Networks

af M.N. Murty, Rashmi Raghava

indgår i SpringerBriefs in Computer Science serien

Support Vector Machines and Perceptrons af M.N. Murty
Bag om Support Vector Machines and Perceptrons

This work reviews the state of the art in SVM and perceptron classifiers. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319410623
  • Indbinding:
  • Paperback
  • Sideantal:
  • 95
  • Udgivet:
  • 18. August 2016
  • Udgave:
  • 12016
  • Størrelse:
  • 235x155x6 mm.
  • Vægt:
  • 1825 g.
  • 8-11 hverdage.
  • 4. Oktober 2024
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This work reviews the state of the art in SVM and perceptron classifiers. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used.

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