Statistical pattern recognition
"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 com...
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| Corporate Author: | |
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken :
Wiley,
2011.
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| Edition: | 3rd ed. |
| Subjects: | |
| Online Access: | An electronic book accessible through the World Wide Web; click to view |
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| 005 | 20171002061645.0 | ||
| 006 | m o u | ||
| 007 | cr cn||||||||| | ||
| 008 | 110715s2011 njuad sb 001 0 eng d | ||
| 010 | |z 2011024957 | ||
| 020 | |z 9780470682272 (hardback) | ||
| 020 | |z 9780470682289 (paper) | ||
| 020 | |z 9781119952961 (e-book) | ||
| 035 | |a (CaPaEBR)ebr10500952 | ||
| 035 | |a (OCoLC)763160180 | ||
| 040 | |a CaPaEBR |c CaPaEBR | ||
| 050 | 1 | 4 | |a Q327 |b .W43 2011eb |
| 082 | 0 | 4 | |a 006.4 |2 23 |
| 100 | 1 | |a Webb, A. R. |q (Andrew R.) | |
| 245 | 1 | 0 | |a Statistical pattern recognition |h [electronic resource] / |c Andrew R. Webb, Keith D. Copsey. |
| 250 | |a 3rd ed. | ||
| 260 | |a Hoboken : |b Wiley, |c 2011. | ||
| 300 | |a xxiv, 642 p. : |b ill. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "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"-- |c Provided by publisher. | ||
| 533 | |a Electronic reproduction. |b Palo Alto, Calif. : |c ebrary, |d 2015. |n Available via World Wide Web. |n Access may be limited to ebrary affiliated libraries. | ||
| 650 | 0 | |a Pattern perception |x Statistical methods. | |
| 655 | 7 | |a Electronic books. |2 local | |
| 700 | 1 | |a Copsey, Keith D. | |
| 710 | 2 | |a ebrary, Inc. | |
| 856 | 4 | 0 | |u http://site.ebrary.com/lib/daystar/Doc?id=10500952 |z An electronic book accessible through the World Wide Web; click to view |
| 908 | |a 170314 | ||
| 942 | 0 | 0 | |c EB |
| 999 | |c 129456 |d 129456 | ||
Pattern theory from representation to inference /