Learning dynamic bayesian networks
- Author
- GHAHRAMANI, Z1
[1] Department of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada - Conference title
- Adaptive processing of sequences and data structures (Salerno, September 6-13, 1997)
- Conference name
- International summer school on neural networks E.R. Caianiello (Salerno 1997-09-06)
- Author (monograph)
- Giles, C. Lee (Editor); Gori, Marco (Editor)
- Source
Lecture notes in computer science. 1998, pp 168-197 ; ref : 52 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-64341-9
- Scientific domain
- Computer science
- Publisher
- Springer-Verlag, Berlin
/
Springer-Verlag, New York NY
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Algorithme EM Algorithme apprentissage Algorithme rétropropagation Modèle Markov variable cachée Modèle probabiliste Méthode Bayes Réseau neuronal
- Keyword (en)
- EM algorithm Learning algorithm Backpropagation algorithm Hidden Markov models Probabilistic model Bayes methods Neural network
- Keyword (es)
- Algoritmo EM Algoritmo aprendizaje Algoritmo retropropagación Modelo probabilista Red neuronal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 2042215
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/BFb0053999 
https://dx.doi.org/10.1007/BFb0053999
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