Kernel methods for pattern analysis /

The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be i...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Shawe-Taylor, John
Otros Autores: Cristianini, Nello
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, UK ; New York : Cambridge University Press, 2004.
Temas:
Machine learning.
Algorithms.
Kernel functions.
Pattern perception > Data processing.
Computer algorithms.
Algorithms
Machine Learning
Apprentissage automatique.
Algorithmes.
Noyaux (Mathématiques)
Perception des structures > Informatique.
algorithms.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Computer algorithms
Kernel functions
Machine learning
Pattern perception > Data processing
Patroonherkenning.
Algoritmen.
Acceso en línea:Texto completo
Descripción
Sumario:The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems.
Descripción Física:1 online resource (xiv, 462 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 450-459) and index.
ISBN:0511210604
9780511210600
0511215975
9780511215971
0511212372
9780511212376
9780511809682
0511809689
0511214189
9780511214189

Ejemplares similares