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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DOI
10.1007/s10044-013-0320-3 
https://dx.doi.org/10.1007/s10044-013-0320-3
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