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A modular k-nearest neighbor classification method for massively parallel text categorization

Author
HAI ZHAO1 ; LU, Bao-Liang1
[1] Department of Computer Science and Engineering, Shanghai Jiao Tong University, 1954 Huashan Rd., Shanghai 200030, China
Conference title
CIS 2004 : computational and information science (Shanghai, 16-18 December 2004)
Conference name
International symposium on computational and information science (1 ; Shanghai 2004-12-16)
Author (monograph)
Jun Zhang (Editor); Ji-Huan He (Editor); Yuxi Fu (Editor)
Source

Lecture notes in computer science. 2004, pp 867-872, 6 p ; ref : 7 ref

ISSN
0302-9743
ISBN
3-540-24127-2
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Algorithme apprentissage Catégorisation Classification Linguistique Parallélisme massif Plus proche voisin Traitement parallèle Modulaire minimax
Keyword (en)
Learning algorithm Categorization Classification Linguistics Massive parallelism Nearest neighbour Parallel processing
Keyword (es)
Algoritmo aprendizaje Categorización Clasificación Linguística Paralelismo masivo Vecino más cercano Tratamiento paralelo
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
16523826

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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