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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Detalles Bibliográficos
Autores principales: Wei, Chao, Luo, Senlin, Ma, Xincheng, Ren, Hao, Zhang, Ji, Pan, Limin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718658/
https://www.ncbi.nlm.nih.gov/pubmed/26784692
http://dx.doi.org/10.1371/journal.pone.0146672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718658/
https://www.ncbi.nlm.nih.gov/pubmed/26784692
http://dx.doi.org/10.1371/journal.pone.0146672

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