"This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character rec...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Cristianini, Nello 1968- (VerfasserIn), Shawe-Taylor, John (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Cambridge [u.a.] Cambridge Univ. Press 2002
Ausgabe:	Repr. with corr.
Schlagworte:	Algorithms Kernel functions Machine learning Maschinelles Lernen Lernendes System Support-Vektor-Maschine
Zusammenfassung:	"This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software." -- BOOK JACKET.
Beschreibung:	Literaturangaben
Beschreibung:	XIII, 189 S. graph. Darst.
ISBN:	0521780195