Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
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Updated
Dec 2, 2017 - Python
Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
A Disease-Symptoms Network and a system that predicts diseases from symptoms using a decision tree classifier.
NLP, Topic modeling, Latent Dirichlet Analysis
leADS: improved metabolic pathway inference based on active dataset subsampling
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