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Active learning with adaptive grids

Author
MILANO, Michele1 ; SCHMIDHUBER, Jürgen2 ; KOUMOUTSAKOS, Petros1
[1] Institute for Computational Sciences, ETH Zürich, Switzerland
[2] IDSIA, Galleria 2 Manno, 6928, Switzerland
Conference title
Artificial neural networks (Vienna, 21-25 August 2001)
Conference name
ICANN 2001 : international conference on artificial neural networks (Vienna 2001-08-21)
Author (monograph)
Dorffner, Georg (Editor); Bischof, Horst (Editor); Hornik, Kurt (Editor)
Source

Lecture notes in computer science. 2001, pp 436-442 ; ref : 5 ref

ISSN
0302-9743
ISBN
3-540-42486-5
Scientific domain
Computer science
Publisher
Springer, Berlin
Publication country
Germany
Document type
Conference Paper
Language
English
Keyword (fr)
Apprentissage(intelligence artificielle) Autoorganisation Choix procédé Matrice covariance Méthode adaptative Optimisation
Keyword (en)
Learning (artificial intelligence) Self organization Process selection Covariance matrix Adaptive method Optimization
Keyword (es)
Autoorganización Selección proceso Matriz covariancia Método adaptativo Optimización
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A02 Optimization. Search problems

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 Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
14045225

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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