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Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression : Visual information processing

Author
SENJIAN AN1 ; WANQUAN LIU1 ; VENKATESH, Svetha1
[1] Department of Computing, Curtin University of Technology, G.P.O. Box U1987, Perth, WA 6845, Australia
Source

Pattern recognition. 2007, Vol 40, Num 8, pp 2154-2162, 9 p ; ref : 21 ref

CODEN
PTNRA8
ISSN
0031-3203
Scientific domain
Computer science; Telecommunications
Publisher
Elsevier Science, Oxford
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Cross-validation Kernel methods Model selection
Keyword (fr)
Algorithme rapide Apprentissage Classification automatique Classification signal Décomposition matricielle Evaluation performance Implémentation Machine vecteur support Matrice carrée Méthode Cholesky Méthode moindre carré Méthode noyau Simulation Système linéaire Système non stationnaire Sélection modèle Validation croisée
Keyword (en)
Fast algorithm Learning Automatic classification Signal classification Matrix decomposition Performance evaluation Implementation Support vector machine Square matrix Cholesky method Least squares method Kernel method Simulation Linear system Non stationary system Model selection Cross validation
Keyword (es)
Algoritmo rápido Aprendizaje Clasificación automática Descomposición matricial Evaluación prestación Implementación Máquina vector soporte Matriz cuadrada Método Cholesky Método cuadrado menor Método núcleo Simulación Sistema lineal Sistema no estacionario Selección modelo Validación cruzada
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18743509

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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