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 comprisi...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Ētahi atu kaituhi: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Hoboken :
Wiley,
2011.
|
| Putanga: | 3rd ed. |
| Ngā marau: | |
| Urunga tuihono: | https://biblioteca.ues.edu.sv/acceso/elibro/?url=https%3A%2F%2Felibro.net%2Fereader%2Fbiblioues/186359 Ver en el OPAC |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ELB186359 | ||
| 003 | FINmELB | ||
| 005 | 20250820144314.0 | ||
| 006 | m o d | | ||
| 007 | cr cn||||||||| | ||
| 008 | 250820s2011 njuad sb 001 0 eng d | ||
| 010 | |z 2011024957 | ||
| 020 | |a 9781119952961 |q (ebook) | ||
| 020 | |z 9780470682289 |q (print) | ||
| 035 | |a (OCoLC)729346947 | ||
| 040 | |a FINmELB |b eng |e rda |c FINmELB | ||
| 050 | 4 | |a Q327 |b .W43 2011 | |
| 082 | 0 | 4 | |a 006.4 |2 23 |
| 100 | 1 | |a Webb, A. R. |q (Andrew R.) | |
| 245 | 1 | 0 | |a Statistical pattern recognition / |c Andrew R. Webb, Keith D. Copsey. |
| 250 | |a 3rd ed. | ||
| 264 | 1 | |a Hoboken : |b Wiley, |c 2011. | |
| 300 | |a xxiv, 642 p. : |b ill. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file |2 rda | ||
| 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. | ||
| 588 | |a Description based on metadata supplied by the publisher and other sources. | ||
| 590 | |a Electronic resource. Santa Fe, Argentina: elibro, 2025. Available via the World Wide Web. Access may be limited to libraries affiliated with elibro. | ||
| 650 | 0 | |a Pattern perception |x Statistical methods. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Copsey, Keith D. | |
| 797 | 2 | |a elibro, Corp. | |
| 856 | 4 | 0 | |u https://biblioteca.ues.edu.sv/acceso/elibro/?url=https%3A%2F%2Felibro.net%2Fereader%2Fbiblioues/186359 |