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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2387

Title: A Multi-View Learning Algorithm
Authors: Lazarova, Gergana
Chechev, Milen
Koychev, Ivan
Keywords: semi-supervised learning
co-training
classification
Issue Date: 29-May-2014
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society
Citation: Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014, 131p-139p
Series/Report no.: ADIS;2014
Abstract: Recently, there has been significant interest in multi-dimensional representation of the objects, searching for new features in new sources of information. Each view of the object represents a separate data source for learning a separate classifier. A multi-view teaching algorithm is compared to a single learner. Both models use Naïve Bayes Classifier for the underlying classifiers. The multi-view algorithm is especially applicable in areas where it is difficult to obtain the classifications of the examples.
Description: Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014
URI: http://hdl.handle.net/10525/2387
ISBN: 978-954-8986-39-7
Appears in Collections:ADIS 2014

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