Description

Book Synopsis
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

An Instructor''s Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.



Table of Contents

Bayesian Decision Theory.

Maximum-Likelihood and Bayesian Parameter Estimation.

Nonparametric Techniques.

Linear Discriminant Functions.

Multilayer Neural Networks.

Stochastic Methods.

Nonmetric Methods.

Algorithm-Independent Machine Learning.

Unsupervised Learning and Clustering.

Appendix.

Index.

Pattern Classification 2nd Edition with Computer

    Product form

    A Hardback by Richard O. Duda

    £157.45

    Includes FREE delivery

    RRP £174.95 – you save £17.50 (10%)

    Order before 4pm on Thursday for delivery by Sat 21 Nov 2026.

    1 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Pattern Classification 2nd Edition with Computer by Richard O. Duda

      Book details

      Publisher John Wiley & Sons Inc
      Published 24 May 2004
      ISBN-13 9780471703501
      978-0471703501
      ISBN-10 0471703508
      Also in:
      Electronics and communications engineering

      Description

      Book Synopsis
      The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

      An Instructor''s Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.



      Table of Contents

      Bayesian Decision Theory.

      Maximum-Likelihood and Bayesian Parameter Estimation.

      Nonparametric Techniques.

      Linear Discriminant Functions.

      Multilayer Neural Networks.

      Stochastic Methods.

      Nonmetric Methods.

      Algorithm-Independent Machine Learning.

      Unsupervised Learning and Clustering.

      Appendix.

      Index.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account