Band 1
Knowledge Discovery with Support Vector Machines
Aus der Reihe
Wiley Series on Methods and Applications in Data Mining
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
- PDF 121,99 € ausgewählt
- ePUB 121,99 €
121,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
04.11.2009
Verlag
John Wiley & Sons IncSeitenzahl
300 (Printausgabe)
Dateigröße
2795 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470503041
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
Complemented with hands-on exercises, algorithm descriptions,
and data sets, Knowledge Discovery with Support Vector
Machines is an invaluable textbook for advanced undergraduate
and graduate courses. It is also an excellent tutorial on support
vector machines for professionals who are pursuing research in
machine learning and related areas.
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
Complemented with hands-on exercises, algorithm descriptions,
and data sets, Knowledge Discovery with Support Vector
Machines is an invaluable textbook for advanced undergraduate
and graduate courses. It is also an excellent tutorial on support
vector machines for professionals who are pursuing research in
machine learning and related areas.
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