Information theoretic active learning in unsupervised and supervised problems
In machine learning, the machine is a learning agent that aims to build a mapping function from a given set of objects to a specific domain of interest. In many applications such as in supervised classification or constrained clustering where the output domain includes class and cluster labels, resp...
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| Online Access: | http://hdl.handle.net/2047/D20240357 |