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pro vyhledávání: '"Alpaydin, E"'
Akademický článek
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Publikováno v:
Lecture Notes in Computer Science ; 2714, 562-569. Berlin : Springer
STARTPAGE=562;ENDPAGE=569;TITLE=Lecture Notes in Computer Science ; 2714
Kaynak, O.; Alpaydin, E.; Oja, E. (ed.), Artificial Neural Networks and Neural Information Processing-Ican/Iconip 2003, pp. 562-569
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 ISBN: 9783540404088
ICANN
STARTPAGE=562;ENDPAGE=569;TITLE=Lecture Notes in Computer Science ; 2714
Kaynak, O.; Alpaydin, E.; Oja, E. (ed.), Artificial Neural Networks and Neural Information Processing-Ican/Iconip 2003, pp. 562-569
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 ISBN: 9783540404088
ICANN
Switching linear dynamic systems can monitor systems that operate in different regimes. In this article we introduce a class of multi-scale switching linear dynamical systems that are particularly suited if such regimes form a hierarchy. The setup co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eea54a470546d26e547284d994be96ef
http://hdl.handle.net/2066/100948
http://hdl.handle.net/2066/100948
Publikováno v:
EPRINTS-BOOK-TITLE
We discuss a multistage method, cascading, where there is a sequence of classifiers ordered in terms of complexity (of the classifier or the repre- sentation) and specificity, in that early classifiers are simple and general and later ones are more c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::b91dd6b9dd511008f93eb4d3f6b4c449
https://research.rug.nl/en/publications/52e168b9-7e93-4e9a-9435-6dc2daeecdcc
https://research.rug.nl/en/publications/52e168b9-7e93-4e9a-9435-6dc2daeecdcc
Publikováno v:
ARTIFICIAL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING-ICAN/ICONIP 2003, 846-853
STARTPAGE=846;ENDPAGE=853;TITLE=ARTIFICIAL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING-ICAN/ICONIP 2003
STARTPAGE=846;ENDPAGE=853;TITLE=ARTIFICIAL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING-ICAN/ICONIP 2003
We propose a simple method to map a generic threshold model, namely the Spike Response Model, to artificial data of neuronal activity using a minimal amount of a priori information. Here, data are generated by a detailed mathematical model of neurona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::338d28a65c440eb0517481e273b1dbc4
https://cris.maastrichtuniversity.nl/en/publications/6b9e5aa6-9d2a-46f7-9c87-b5ad8598123e
https://cris.maastrichtuniversity.nl/en/publications/6b9e5aa6-9d2a-46f7-9c87-b5ad8598123e
Publikováno v:
Proceedings of the International Conference of the Artificial Neural Networks and Neural Information Processing, 82-85
STARTPAGE=82;ENDPAGE=85;TITLE=Proceedings of the International Conference of the Artificial Neural Networks and Neural Information Processing
STARTPAGE=82;ENDPAGE=85;TITLE=Proceedings of the International Conference of the Artificial Neural Networks and Neural Information Processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::7158fef10f204a53f2f96cd13653377b
https://pure.eur.nl/en/publications/06b9398f-3688-46d7-a18e-9465e4167ef4
https://pure.eur.nl/en/publications/06b9398f-3688-46d7-a18e-9465e4167ef4
Autor:
Baraldi A., Alpaydin E.
Publikováno v:
IEEE transactions on neural networks 13-3 (2002): 645–661.
info:cnr-pdr/source/autori:Baraldi A., Alpaydin E./titolo:Constructive feedforward ART clustering networks-Part I/doi:/rivista:IEEE transactions on neural networks/anno:2002/pagina_da:645/pagina_a:661/intervallo_pagine:645–661/volume:13-3
info:cnr-pdr/source/autori:Baraldi A., Alpaydin E./titolo:Constructive feedforward ART clustering networks-Part I/doi:/rivista:IEEE transactions on neural networks/anno:2002/pagina_da:645/pagina_a:661/intervallo_pagine:645–661/volume:13-3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::fe9e3dd420eb428158bbf5041dbcb40d
http://www.cnr.it/prodotto/i/171556
http://www.cnr.it/prodotto/i/171556
Akademický článek
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Autor:
Go?nen, M., Alpaydin, E.
Publikováno v:
2010 20th International Conference on Pattern Recognition (ICPR); 2010, p1425-1428, 4p
Publikováno v:
2009 24th International Symposium on Computer & Information Sciences; 2009, p193-198, 6p