Recursive finite newton algorithm for support vector regression in the primal
- Author
- LIEFENG BO1 ; LING WANG1 ; LICHENG JIAO1
[1] Institute of Intelligent In formation Processing, Xidian University, Xi'an 710071, China - Source
Neural computation. 2007, Vol 19, Num 4, pp 1082-1096, 15 p ; ref : 1 p
- ISSN
- 0899-7667
- Scientific domain
- Computer science; Neurology; Psychology, psychopathology, psychiatry
- Publisher
- MIT Press, Cambridge, MA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme récursif Calcul neuronal Fonction perte Méthode Newton Régression non linéaire Réseau neuronal SVM Training algorithm
- Keyword (en)
- Recursive algorithm Neural computation Loss function Newton method Non linear regression Neural network
- Keyword (es)
- Algoritmo recursivo computación neuronal Función pérdida Método Newton Regresión no lineal Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02J Linear inference, regression
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems Mathematics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18673025
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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DOI
10.1162/neco.2007.19.4.1082 
https://dx.doi.org/10.1162/neco.2007.19.4.1082
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