Services
-
Articles citing this article
- Same authors
-
Related articles
- Recommend this article
- Download citation
- Alert me when this article is cited
- Alert me when this article is corrected
|
ESAIM: P&S, November 2005, Vol. 9, pp. 323-375
DOI: 10.1051/ps:2005018
Theory of Classification: a Survey of Some Recent Advances
Stéphane Boucheron1, Olivier Bousquet2 and Gábor Lugosi31 Laboratoire Probabilités et Modèles Aléatoires, CNRS & Université Paris VII, Paris, France.
2 Pertinence SA, 32 rue des Jeûneurs, 75002 Paris, France.
3 Department of Economics, Pompeu Fabra University, Ramon Trias Fargas 25-27, 08005 Barcelona, Spain; lugosi@upf.es
(Received June 18, 2004. Accepted September 12, 2005.)
Abstract
The last few years have witnessed important new developments in
the theory and practice of pattern classification. We intend to
survey some of the main new ideas that have led to these
recent results.
Mathematics Subject Classification. 62G08, 60E15, 68Q32
Key words: Pattern recognition, statistical learning theory, concentration inequalities, empirical processes, model selection.
© EDP Sciences, SMAI 2005
| What is OpenURL? |



Document
BibSonomy
CiteUlike
Connotea
Del.icio.us
Digg
Facebook