Text categorization using informative vector machinesText categorization using informative vector machines Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-11-042005enIn 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 http://creativecommons.org/licenses/by/4.0/209 – 212IEEE International Conference EUROCON 2005: Computer as a Tool Moustakis Vasilis Μουστακης Βασιλης M. Stankovic Milos S. Stankovic IEEE Xplore