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Temperature based Restricted Boltzmann Machines
Restricted Boltzmann machines (RBMs), which apply graphical models to learning probability distribution over a set of inputs, have attracted much attention recently since being proposed as building blocks of multi-layer learning systems called deep belief networks (DBNs). Note that temperature is a...
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| Publicado en: | Sci Rep |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4725829/ https://ncbi.nlm.nih.gov/pubmed/26758235 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep19133 |
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