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Locally Embedding Autoencoders: A Semi-Supervised Manifold Learning Approach of Document Representation
Topic models and neural networks can discover meaningful low-dimensional latent representations of text corpora; as such, they have become a key technology of document representation. However, such models presume all documents are non-discriminatory, resulting in latent representation dependent upon...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4718658/ https://ncbi.nlm.nih.gov/pubmed/26784692 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0146672 |
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