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Pattern recognition and machine learning / Christopher M. Bishop.

By: Material type: TextTextSeries: Information science and statistics | Information science and statisticsPublication details: New York : Springer, c2006.Description: xx, 738 p. : col. ill., ports. (some col.) ; 25 cmISBN:
  • 9780387310732 (hbk.) :
  • 9780387310732
Subject(s): DDC classification:
  • 006.4 BIS
Contents:
1.Introduction -- 2.Probability distribution -- 3.Lindear models for regression -- 4.Linear modles for classification -- 5.Neural networks -- 6.Kernel methods -- 7.Sparse kernel machines -- 8.Graphical models -- 9.Mixture models and EM -- 10.Approximate inference -- 11.Sampling methods -- 12.Continuous latent variables -- 13.Sequential data -- 14.Combing models
Summary: The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 006.4 BIS (Browse shelf(Opens below)) 1 Available 216800

Includes bibliographical references (p. 711-728) and index.

1.Introduction -- 2.Probability distribution -- 3.Lindear models for regression -- 4.Linear modles for classification -- 5.Neural networks -- 6.Kernel methods -- 7.Sparse kernel machines -- 8.Graphical models -- 9.Mixture models and EM -- 10.Approximate inference -- 11.Sampling methods -- 12.Continuous latent variables -- 13.Sequential data -- 14.Combing models

The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

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