Locally Embedding Autoencoders: A Semi-Supervised Manifold Learning Approach of Document Representation
نویسندگان
چکیده
منابع مشابه
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 all other documents and an inability to provide discriminative document representation. To addre...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0146672