Statistical Pattern Recognition
Seiten
1999
Butterworth-Heinemann Ltd (Verlag)
978-0-340-74164-1 (ISBN)
Butterworth-Heinemann Ltd (Verlag)
978-0-340-74164-1 (ISBN)
- Keine Verlagsinformationen verfügbar
- Artikel merken
Zu diesem Artikel existiert eine Nachauflage
Statistical pattern processing is a technique with applications in areas such as database design and analysis, artificial neural networks and decision support. This multidisciplinary text provides a link between these application areas and the more diverse topics of statistical pattern recognition.
From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of application. Areas such as database design, artificial neural networks and decision support are common to all. The author also examines the more diverse theoretical topics available to the practitioner or researcher, such as outlier detection and model selection, and concludes each section with a description of the wider range of practical applications and the future developments of theoretical techniques. Providing an introduction to statistical pattern theory and techniques that draws on material from a wide range of fields, 'Statistical Pattern Recognition' is a must for all technical professionals wanting to get up to speed on the recent advances in this dymanic subject area.
From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of application. Areas such as database design, artificial neural networks and decision support are common to all. The author also examines the more diverse theoretical topics available to the practitioner or researcher, such as outlier detection and model selection, and concludes each section with a description of the wider range of practical applications and the future developments of theoretical techniques. Providing an introduction to statistical pattern theory and techniques that draws on material from a wide range of fields, 'Statistical Pattern Recognition' is a must for all technical professionals wanting to get up to speed on the recent advances in this dymanic subject area.
Introduction to statistical pattern recognition * Estimation * Density estimation * Linear discriminant analysis * Nonlinear discriminant analysis - neural networks * Nonlinear discriminant analysis - statistical methods * Classification trees * Feature selection and extraction * Clustering * Additional topics * Measures of dissimilarity * Parameter estimation * Linear algebra * Data * Probability theory.
| Erscheint lt. Verlag | 27.8.1999 |
|---|---|
| Zusatzinfo | 99ill. |
| Verlagsort | Oxford |
| Sprache | englisch |
| Maße | 330 x 280 mm |
| Gewicht | 905 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 0-340-74164-3 / 0340741643 |
| ISBN-13 | 978-0-340-74164-1 / 9780340741641 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Eine praxisorientierte Einführung
Buch | Softcover (2025)
Springer Vieweg (Verlag)
CHF 53,15
Buch | Softcover (2025)
Reclam, Philipp (Verlag)
CHF 11,20
die materielle Wahrheit hinter den neuen Datenimperien
Buch | Hardcover (2024)
C.H.Beck (Verlag)
CHF 44,75