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Machine learning / Cognition / Applied mathematics / Cognitive science / Deep learning / Semi-supervised learning / Supervised learning / Feature learning / Artificial neural network / Support vector machine / Deep belief network / Autoencoder
Date: 2015-09-09 11:04:44
Machine learning
Cognition
Applied mathematics
Cognitive science
Deep learning
Semi-supervised learning
Supervised learning
Feature learning
Artificial neural network
Support vector machine
Deep belief network
Autoencoder

Learning a Deep Hybrid Model for Semi-Supervised Text Classification Alexander G. Ororbia II, C. Lee Giles, David Reitter College of Information Sciences and Technology The Pennsylvania State University, University Park,

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