Hierarchical Bayesian Learning Approaches for Different Labeling Cases
<p>The goal of a machine learning problem is to learn useful patterns from observations so that appropriate inference can be made from new observations as they become available. Based on whether labels are available for training data, a vast majority of the machine learning approaches can be b...
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2015
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| Online Access: | http://hdl.handle.net/10161/11321 |