Learning with Hierarchical-Deep Models
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian (HB) models. Specifically, we show how we can learn a hierarchical Dirichlet process (HDP) prior over the activities of the top-level...
| Principais autores: | , , |
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| Outros Autores: | |
| Formato: | Artigo |
| Idioma: | en_US |
| Publicado em: |
Institute of Electrical and Electronics Engineers (IEEE)
2014
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| Acesso em linha: | http://hdl.handle.net/1721.1/90947 https://orcid.org/0000-0002-1925-2035 https://orcid.org/0000-0003-4915-0256 |