![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 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](https://www.pdfsearch.io/img/e67474a750ba6647dd9ab63c0a43c928.jpg) Date: 2015-09-09 11:04:44Machine 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,Add to Reading ListSource URL: www.anthology.aclweb.orgDownload Document from Source Website File Size: 228,66 KBShare Document on Facebook
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