Parallel Semi-supervised EM-algorithm (MT-SSEM)


Autoria(s): Lazarova, Gergana; Koychev, Ivan
Data(s)

30/06/2013

30/06/2013

31/05/2013

Resumo

Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013

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.

Association for the Development of the Information Society, Institute of Mathematics and Informatics Bulgarian Academy of Sciences

Identificador

Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013, 149p-157p

1314-0752

http://hdl.handle.net/10525/1995

Idioma(s)

bg

Publicador

Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society

Relação

ADIS;2013

Palavras-Chave #semi-supervised machine learning #EM-algorithm #classification
Tipo

Article