Multi-objective and semi-supervised heterogeneous classifier ensembles
In the recent years, many applications in machine learning involve an increasingly large number of features and samples, which poses new challenges to many learning algorithms. To address these challenges, ensemble learning methods, which uses multiple base learners, have been proposed to achieve be...
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University of Surrey
2017
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.703555 |