Support vector machines for spam categorization : Vapnik-Chervonekis (VC) learning theory and its applications
- Author
- DRUCKER, H1 2 ; DONGHUI WU3 ; VAPNIK, V. N1
[1] AT&T Labs-Research, Red Bank, NJ 07701, United States
[2] Department of Electronic Engineering, Monmouth University, West Long Branch, NJ 07764-1898, United States
[3] Polytechnic Institute, Troy, NY 12181, United States - Source
IEEE transactions on neural networks. 1999, Vol 10, Num 5, pp 1048-1054 ; ref : 18 ref
- CODEN
- ITNNEP
- ISSN
- 1045-9227
- Scientific domain
- Electronics; Computer science; Psychology, psychopathology, psychiatry
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme Catégorisation Classification Courrier électronique Etude comparative Réseau neuronal SVM
- Keyword (en)
- Algorithm Categorization Classification Electronic mailing Comparative study Neural network
- Keyword (es)
- Algoritmo Categorización Clasificación Correo electrónico Estudio comparativo Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D03 Electronics / 001D03G Electric, optical and optoelectronic circuits / 001D03G03 Neural networks
- Discipline
- Computer science : theoretical automation and systems Electronics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1912155
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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