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Title: Parallel Semi-supervised EM-algorithm (MT-SSEM)
Authors: Lazarova, Gergana
Koychev, Ivan
Keywords: semi-supervised machine learning
Issue Date: 31-May-2013
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 in the Information Society", Plovdiv, May, 2013, 149p-157p
Series/Report no.: ADIS;2013
Abstract: With the development of new technology, information has become easier to access. Databases consist of numerous examples, reaching new dimensions. New powerful, parallel, executing fast algorithms are needed. The aim of the presented algorithm is exactly to fulfill the greed for this trend. A multi-threaded semi-supervised version of the standard EMalgorithm is presented. It uses two data sources – labeled and unlabeled data. Usually, we have access to lots of unlabeled examples, but the labeled ones are difficult to reach.
Description: Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013
ISSN: 1314-0752
Appears in Collections:ADIS 2013

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