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Text categorization using informative vector machines

Moustakis Vasilis, M. Stankovic, Milos S. Stankovic

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URI: http://purl.tuc.gr/dl/dias/EE620994-FE56-438C-AC6A-21D93FC02101
Year 2005
Type of Item Conference Full Paper
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Bibliographic Citation M. 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.2005.1629897 https://doi.org/10.1109/EURCON.2005.1629897
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Summary

In 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

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