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Statistical pattern recognition /
~
Webb, A. R.
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Statistical pattern recognition /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Statistical pattern recognition // Andrew R. Webb, Keith D. Copsey.
Author:
Webb, A. R.
other author:
Copsey, Keith D.
Published:
Hoboken :Wiley, : 2011.,
Description:
xxiv, 642 p. :ill. ;25 cm.
Subject:
Pattern perception - Statistical methods. -
Online resource:
http://catalogimages.wiley.com/images/db/jimages/9780470682272.jpg
ISBN:
9780470682272 (hbk.) :
Statistical pattern recognition /
Webb, A. R.
Statistical pattern recognition /
Andrew R. Webb, Keith D. Copsey. - 3rd ed. - Hoboken :Wiley,2011. - xxiv, 642 p. :ill. ;25 cm.
Includes bibliographical references and index.
Statistical Pattern Recognition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book describes techniques for analysing data comprising measurements made on individuals or objects.. The techniques are used to make a prediction such as disease of a patient, the type of object illuminated by a radar, economic forecast. Emphasis is placed on techniques for classification, a term used for predicting the class or group an object belongs to (based on a set of exemplars) and for methods that seek to discover natural groupings in a data set. Each section concludes with a description of the wide range of practical applications that have been addressed and the further developments of theoretical techniques and includes a variety of exercises, from ’open-book’ questions to more lengthy projects. New material is presented, including the analysis of complex networks and basic techniques for analysing the properties of datasets and also introduces readers to the use of variational methods for Bayesian density estimation and looks at new applications in biometrics and security.
ISBN: 9780470682272 (hbk.) :US141.00
LCCN: 2011024957Subjects--Topical Terms:
563025
Pattern perception
--Statistical methods.
LC Class. No.: Q327 / .W43 2011
Dewey Class. No.: 006.4
Statistical pattern recognition /
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Includes bibliographical references and index.
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Statistical Pattern Recognition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book describes techniques for analysing data comprising measurements made on individuals or objects.. The techniques are used to make a prediction such as disease of a patient, the type of object illuminated by a radar, economic forecast. Emphasis is placed on techniques for classification, a term used for predicting the class or group an object belongs to (based on a set of exemplars) and for methods that seek to discover natural groupings in a data set. Each section concludes with a description of the wide range of practical applications that have been addressed and the further developments of theoretical techniques and includes a variety of exercises, from ’open-book’ questions to more lengthy projects. New material is presented, including the analysis of complex networks and basic techniques for analysing the properties of datasets and also introduces readers to the use of variational methods for Bayesian density estimation and looks at new applications in biometrics and security.
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Pattern perception
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ISSUES
壽豐校區(SF Campus)
-
last issue:
1 (2014/11/28)
Details
Location:
ALL
六樓西文書區HC-Z(6F Western Language Books)
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Volume Number:
Items
1 records • Pages 1 •
1
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W0181748
六樓西文書區HC-Z(6F Western Language Books)
01.外借(書)_YB
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Q327 W43 2011
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