Text categorization using informative vector machines

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

Export

Metadata & Content in a METS Package:

Metadata in Format: