Multiclass classification with pairwise coupled neural networks or support Vector Machines
- Author
- MAYORAZ, Eddy Nicolas1
[1] Human Interface Lab (HIL), Motorola Labs, 3145 Porter Drive, Palo Alto, CA 94304, United States - Conference title
- Artificial neural networks (Vienna, 21-25 August 2001)
- Conference name
- ICANN 2001 : international conference on artificial neural networks (Vienna 2001-08-21)
- Author (monograph)
- Dorffner, Georg (Editor); Bischof, Horst (Editor); Hornik, Kurt (Editor)
- Source
Lecture notes in computer science. 2001, pp 314-321 ; ref : 19 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-42486-5
- Scientific domain
- Computer science
- Publisher
- Springer, Berlin
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Base donnée Boucle anticipation Caractère manuscrit Classification Réseau neuronal Apprentissage supervisé Machine support vecteur
- Keyword (en)
- Database Feedforward Manuscript character Classification Neural network Supervised learning Vector support machine
- Keyword (es)
- Base dato Ciclo anticipación Carácter manuscrito Clasificación Red neuronal
- Classification
- 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
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 14045214
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
10.1007/3-540-44668-0_45 
https://dx.doi.org/10.1007/3-540-44668-0_45
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