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An introduction to support vector machines : and other kernel-based learning methods / Nello Cristianini and John Shawe-Taylor.

By: Contributor(s): Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, (c)2000.Description: 1 online resource (xiii, 189 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139649087
  • 9780511801389
  • 9781316085417
  • 9781139641463
Subject(s): Genre/Form: LOC classification:
  • Q325 .I587 2000
Online resources: Available additional physical forms:
Contents:
Linear learning machines -- Kernal-induced feature spaces -- Generalisation theory -- Optimisation theory -- Support vector machines -- Implementation techniques -- Application of support vector machines -- Pseudocode for the SMO algorithm -- Background mathematics.
Subject: A comprehensive introduction to this recent method for machine learning and data mining.
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Holdings
Item type Current library Collection Call number URL Status Date due Barcode
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) G. Allen Fleece Library ONLINE Non-fiction Q325.5 (Browse shelf(Opens below)) Link to resource Available ocn852896272

Includes bibliographies and index.

The learning methodology -- Linear learning machines -- Kernal-induced feature spaces -- Generalisation theory -- Optimisation theory -- Support vector machines -- Implementation techniques -- Application of support vector machines -- Pseudocode for the SMO algorithm -- Background mathematics.

A comprehensive introduction to this recent method for machine learning and data mining.

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