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dc.contributor.author |
Giryes, Raja |
|
dc.contributor.author |
Sapiro, Guillermo |
|
dc.contributor.author |
Bronsten, Alex M. |
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dc.date.accessioned |
2019-07-02T10:30:54Z |
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dc.date.available |
2019-07-02T10:30:54Z |
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dc.date.issued |
2016-07 |
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dc.identifier.issn |
1053587X |
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dc.identifier.uri |
http://hdl.handle.net/123456789/7562 |
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dc.description |
p.3444 - 3457 |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.ispartofseries |
In : IEEE transactions on signal processing, Vol.64, n°13 (Juil. 2016); |
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dc.subject |
Processus gaussiens |
en_US |
dc.subject |
Modèle de classification |
en_US |
dc.subject |
Apprentissage (intelligence artificielle) |
en_US |
dc.subject |
Intelligence artificielle |
en_US |
dc.subject |
Réseaux neuronaux |
en_US |
dc.title |
Deep neural networks with random gaussian weights : a universal classification strategy? |
en_US |
dc.type |
Article |
en_US |
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