Knowledge Discovery with Support Vector Machines
An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-class classification Regression with support vector machines Novelty detection Complement…
Mehr
CHF 94.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
Versandkostenfrei
Produktdetails
- ISBN: 978-0-470-50304-1
- EAN: 9780470503041
- Produktnummer: 13932007
- Verlag: Wiley
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 262 S.
- Plattform: PDF
- Masse: 2'795 KB
Über den Autor
Lutz Hamel, PhD, teaches at the University of Rhode Island, where he founded the machine learning and data mining group. His major research interests are computational logic, machine learning, evolutionary computation, data mining, bioinformatics, and computational structures in art and literature.
1 weiteres Werk von Lutz H. Hamel:
Bewertungen
Anmelden