An adaptive framework for classification of concept drift with limited supervision
This thesis deals with the problem of classification of data affected by concept drift. In particular, it investigates the area of unsupervised model updating in which a classification model is updated without using information about the changing distributions of the classes. An adaptive framework t...
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University of York
2012
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595061 |