Discovering neural nets with low Kolmogorov complexity and high generalization capability
- Author
- SCHMIDHUBER, J1
[1] IDSIA, Switzerland - Source
Neural networks. 1997, Vol 10, Num 5, pp 857-873 ; ref : 1 p.3/4
- ISSN
- 0893-6080
- Scientific domain
- Electronics; Computer science; Neurology
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Apprentissage Complexité algorithme Généralisation Loi Kolmogorov Méthode statistique Réseau neuronal
- Keyword (en)
- Learning Algorithm complexity Generalization Kolmogorov law Statistical method Neural network
- Keyword (es)
- Aprendizaje Complejidad algoritmo Generalización Ley Kolmogorov Método estadístico 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
- 2764047
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
10.1016/S0893-6080(96)00127-X 
https://dx.doi.org/10.1016/S0893-6080(96)00127-X
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