Graph-based Latent Embedding, Annotation and Representation Learning in Neural Networks for Semi-supervised and Unsupervised Settings
Machine learning has been immensely successful in supervised learning with outstanding examples in major industrial applications such as voice and image recognition. Following these developments, the most recent research has now begun to focus primarily on algorithms which can exploit very...
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| Format: | Others |
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Scholar Commons
2017
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| Online Access: | https://scholarcommons.usf.edu/etd/7415 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=8612&context=etd |