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Knowledge Discovery Support Vector: 3 (Wiley Series on Methods and Applications in Data Mining) - Tapa dura

Libro 2 de 7: Wiley Series on Methods and Applications in Data Mining

Hamel

 
9780470371923: Knowledge Discovery Support Vector: 3 (Wiley Series on Methods and Applications in Data Mining)
Tapa dura
ISBN 10: 0470371927 ISBN 13: 9780470371923
Editorial: John Wiley & Sons, 2009

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del 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.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
John Wiley & Sons
Año de publicación
2009
Idioma
Inglés
ISBN 10 
0470371927
ISBN 13 
9780470371923
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
264
Contacto del fabricante
WROX
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