Machine Learning (Semi-Supervised Learning in particular)
Graphical Models (Conditional Random Fields in particular)
Model Selection and Sparse Models
Publications
N. Sokolovska, T. Lavergne, O. Cappé, F. Yvon. Efficient learning of sparse conditional random fields for supervised sequence labelling. Submitted (August, 2009). preprint
N. Sokolovska, O. Cappé, F. Yvon. Sélection de caractéristiques pour les champs aléatoires conditionnels par pénalisation L1. Submitted (August, 2009). preprint
N. Sokolovska, O. Cappé, and F. Yvon. The asymptotics of semi-supervised learning in discriminative probabilistic models. In A. McCallum and S. Roweis, editors, Proc. Int. Conf. Machine Learning (ICML), pages 984-991. Omnipress, 2008. pdf
N. Sokolovska, O.Cappé, and F. Yvon. Analyse asymptotique de l'apprentissage semi-supervisé pour les modèles probabilistes discriminants. In Proceedings of Conférence d'Apprentissage (CAP), Porquerolles, France, 2008.
A. Rauber, M. Dittenbach, H. Berger, A. Pesenhofer, G. Pölzlbauer, N. Sokolovska, R. Mayer, T. Lidy, R. Neumayer.
Detecting and exploring semantic concepts in unstructured data, Proceedings of the International Symposium on Semantic Systems
in the Knowledge Society - Challenges&Opportunities, OCG, 2005.pdf
N. Sokolovska. Text processing according to the parts of speech based on the SOMLib Digital Library and TreeTagger.
In J. Paralič and A. Rauber, editors, Proc. Workshop on Data Analysis
(WDA), pages 97 - 108, Elfa Academic Press, Košice, 2004.
