Learning a decision boundary from stochastic examples: incremental algorithms with and without queries
- Author
- KABASHIMA, Y; SHINOMOTO, S
Kyoto univ., dep. physics, Kyoto 606, Japan - Source
Neural computation. 1995, Vol 7, Num 1, pp 158-172 ; ref : 27 ref
- ISSN
- 0899-7667
- Scientific domain
- Computer science; Neurology; Psychology, psychopathology, psychiatry
- Publisher
- MIT Press, Cambridge, MA
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme Apprentissage Approximation stochastique Convergence Critère décision Erreur Minimisation Prédiction Binary choice Conditional probability distribution function One dimensional blurred boundary
- Keyword (en)
- Algorithm Learning Stochastic approximation Convergence Decision criterion Error Minimization Prediction
- Keyword (es)
- Algoritmo Aprendizaje Aproximación estocástica Convergencia Criterio decisión Error Minimización Predicción
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 3391029
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
10.1162/neco.1995.7.1.158 
https://dx.doi.org/10.1162/neco.1995.7.1.158
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