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Combining subclassifiers in text categorization : A DST-based solution and a case study

Author
SARINNAPAKORN, Kanoksri1 ; KUBAT, Miroslav1
[1] Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, MCA 406, Miami, FL 33146, United States
Source

IEEE transactions on knowledge and data engineering. 2007, Vol 19, Num 12, pp 1638-1651, 14 p ; ref : 53 ref

ISSN
1041-4347
Scientific domain
Control theory, operational research; Computer science; Psychology, psychopathology, psychiatry
Publisher
IEEE Computer Society, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Dempster-Shafer Theory Machine learning fusion multilabel examples text categorization
Keyword (fr)
Classification Confiance Induction Intelligence artificielle Linguistique Raisonnement basé sur cas Texte Théorie Dempster Shafer
Keyword (en)
Classification Confidence Induction Artificial intelligence Linguistics Case based reasoning Text Dempster Shafer theory
Keyword (es)
Clasificación Confianza Inducción Inteligencia artificial Linguística Razonamiento fundado sobre caso Texto Teoría Dempster Shafer
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C04 Speech and sound recognition and synthesis. Linguistics

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19216306

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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