Semi-Supervised Classification Using Gaussian Processes
Gaussian Processes (GPs) are promising Bayesian methods for classification and regression problems. They have also been used for semi-supervised classification tasks. In this thesis, we propose new algorithms for solving semi-supervised binary classification problem using GP regression (GPR) models. Th...
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| Language: | en_US |
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2010
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| Online Access: | http://hdl.handle.net/2005/658 |