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VE dimension induced by Bayesian networks over the boolean domain

Author
YOULONG YANG1 ; YAN WU1
[1] Department of Mathematics, Xidian University, Xi'an 710071, China
Source

Pattern analysis and applications (Print). 2014, Vol 17, Num 4, pp 799-807, 9 p ; ref : 22 ref

ISSN
1433-7541
Scientific domain
Computer science
Publisher
Springer, Heidelberg
Publication country
Germany
Document type
Article
Language
English
Author keyword
Bayesian networks Classification Concept classes Inner product space VC-dimension
Keyword (fr)
Analyse conceptuelle Apprentissage probabilités Classification automatique Espace euclidien Méthode graphe Produit scalaire Réseau Bayes Réseau probabiliste Réseau Booléen
Keyword (en)
Conceptual analysis Probability learning Automatic classification Euclidean space Graph method Scalar product Bayes network Probabilistic net Boolean Network
Keyword (es)
Análisis conceptual Aprendizaje probabilidades Clasificación automática Espacio euclidiano Método grafo Producto escalar Red Bayes Red probabilista Red Booleana
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A06 Information retrieval. Graph

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
28855541

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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