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Margin maximizing Discriminant Analysis

Author
KOCSOR, Andras1 ; KOVACS, Kornél1 ; SZEPESVARI, Csaba2
[1] Research Group on Artificial Intelligence of the Hungarian Academy of Sciences, University of Szeged, Aradi vértanúk tere 1., 6720 Szeged, Hungary
[2] Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u. 13-17, 1111 Budapest, Hungary
Conference title
Machine learning : ECML 2004 (Pisa, 20-24 September 2004)
Conference name
European conference on machine learning (15 ; Pisa 2004-09-20)
Author (monograph)
Boulicault, Jean-François (Editor); Esposito, Floriana (Editor); Giannotti, Fosca (Editor); Pedreschi, Dino (Editor)
Source

Lecture notes in computer science. 2004, pp 227-238, 12 p ; ref : 19 ref

ISSN
0302-9743
ISBN
3-540-23105-6
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Analyse discriminante Classification Décision optimale Extraction caractéristique Extraction forme Intelligence artificielle Méthode calcul Reconnaissance forme Distribution donnée
Keyword (en)
Discriminant analysis Classification Optimal decision Feature extraction Pattern extraction Artificial intelligence Computing method Pattern recognition Data distribution
Keyword (es)
Análisis discriminante Clasificación Decisión optimal Extracción forma Inteligencia artificial Método cálculo Reconocimiento patrón Distribución dato
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16144191

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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