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Text categorization using informative vector machines

Moustakis Vasilis, M. Stankovic, Milos S. Stankovic

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URIhttp://purl.tuc.gr/dl/dias/EE620994-FE56-438C-AC6A-21D93FC02101-
Identifierhttps://doi.org/10.1109/EURCON.2005.1629897 -
Languageen-
TitleText categorization using informative vector machinesen
CreatorMoustakis Vasilisen
CreatorΜουστακης Βασιληςel
CreatorM. Stankovicen
CreatorMilos S. Stankovicen
PublisherIEEE Xploreen
Content SummaryIn this paper an analysis is given of the application of Bayesian Gaussian process statistical learning algorithms to the problem of text categorization. It is demonstrated that the informative vector machine method, as a sparse Bayesian compression scheme, provides results better than those obtained so far with the support vector machine method, with much less computational cost en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2005-
Bibliographic CitationM. Stankovic, V. Moustakis, S. Stankovic, "Text Categorization Using Informative Vector Machines", in IEEE International Conference EUROCON 2005: Computer as a Tool, November, pp. 209 – 212, doi: 10.1109/EURCON.2005.1629897en

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