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Classifier ensembles with a random linear oracle

Author
KUNCHEVA, Ludmila I1 ; RODRIGUEZ, Juan J2
[1] School of Informatics, University of Wales, Bangor, Dean Street, Bangor, Gwynedd LL57 1UT, United Kingdom
[2] Escuela Politecnica Superior, Edificio C, Universidad de Burgos, c/ Francisco de Vitoria s/n, 09006 Burgos, Spain
Source

IEEE transactions on knowledge and data engineering. 2007, Vol 19, Num 4, pp 500-508, 9 p ; ref : 43 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
Classifier ensembles fusion and selection multivariate (oblique) decision trees random hyperplane
Keyword (fr)
Application médicale Approche probabiliste Arbre décision Base donnée Classification Espace vectoriel Fusion donnée Hyperplan Modèle agrégé Modélisation Oracle Précision élevée
Keyword (en)
Medical application Probabilistic approach Decision tree Database Classification Vector space Data fusion Hyperplane Aggregate model Modeling Oracle High precision
Keyword (es)
Aplicación medical Enfoque probabilista Arbol decisión Base dato Clasificación Espacio vectorial Fusión datos Hiperplano Modelo agregado Modelización Precisión elevada
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

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18604398

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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