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Statistical and neural classifiers : an integrated approach to design

Author: Šarūnas Raudys
Publisher: London ; New York : Springer, ©2001.
Series: Advances in pattern recognition.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

In this book, Sarunas Raudys - an internationally respected researcher in the area - provides an excellent mathematical and applied introduction to how neural network classifiers work and how they  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Šarūnas Raudys
ISBN: 1852332972 9781852332976
OCLC Number: 44883853
Description: xxiii, 289 pages : illustrations ; 24 cm.
Contents: 1. Quick Overview --
2. Taxonomy of Pattern Classification Algorithms --
3. Performance and the Generalisation Error --
4. Neural Network Classifiers --
5. Integration of Statistical and Neural Approaches --
6. Model Selection --
App. A.1. Elements of Matrix Algebra --
App. A.2. The First Order Tree Type Dependence Model --
App. A.3. Temporal Dependence Models --
App. A.4. Pikelis Algorithm for Evaluating Means and Variances of the True, Apparent and Ideal Errors in Model Selection --
App. A.5. Matlab Codes (the Non-Linear SLP Training, the First Order Tree Dependence Model, and Data Whitening Transformation).
Series Title: Advances in pattern recognition.
Responsibility: Šarūnas Raudys.
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