Efficient learning of hierarchical latent class models
- Author
- ZHANG, Nevin L1 ; KOCKA, Tomao2
[1] Department of Computer Science. Hong Kong University of Science & Technology, Hong-Kong
[2] Laboratory of Intelligent Systems Prague Prague University of Economics, Prague, Czech Republic - Conference title
- 16th IEEE international conference on tools with artificial intelligence ICTAI 2004 (Boca Raton Fl, 15-17 November 2004)
- Conference name
- ICTAI : international conference on tools with artificial intelligence (16 ; Boca Raton FL 2004)
- Source
Proceedings - International Conference on Tools with Artificial Intelligence, TAI. 2004 ; 1Vol, pp 585-593, 9 p ; ref : 8 ref
- ISSN
- 1082-3409
- ISBN
- 0-7695-2236-X
- Scientific domain
- Computer science
- Publisher
- IEEE, Los Alamitos CA
- Publication country
- United States
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Algorithme recherche Complexité calcul Extensibilité Intelligence artificielle Modèle donnée Modélisation Réseau Bayes Structure arborescente Système hiérarchisé
- Keyword (en)
- Search algorithm Computational complexity Scalability Artificial intelligence Data models Modeling Bayes network Tree structure Hierarchical system
- Keyword (es)
- Algoritmo búsqueda Complejidad computación Estensibilidad Inteligencia artificial Modelización Red Bayes Estructura arborescente Sistema jerarquizado
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19103888
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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