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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/EE620994-FE56-438C-AC6A-21D93FC02101 | - |
| Identifier | https://doi.org/10.1109/EURCON.2005.1629897 | - |
| Language | en | - |
| Title | Text categorization using informative vector machines | en |
| Creator | Moustakis Vasilis | en |
| Creator | Μουστακης Βασιλης | el |
| Creator | M. Stankovic | en |
| Creator | Milos S. Stankovic | en |
| Publisher | IEEE Xplore | en |
| Content 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 | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-04 | - |
| Date of Publication | 2005 | - |
| 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 | en |
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