Department 1 : Algorithms, computation, image and geometry

Team leader  : Yann Guermeur
Tél. : +33 3 83 59 30 18
Mail : yann.guermeur@loria.fr

Website of the team

Presentation

The goal of the statistical learning theory is to specify the con- ditions under which it is possible to learn from empirical data obtained by random sampling. Learning amounts to solving a problem of function or model selection.

Research activities

• Theory and practice of large margin multi-category classifiers
• Learning piecewise smooth functions
• Robust data mining
• Computational biology

Software

• HECTAR
• M-SVM
• MSVMpack
• MSVMpred

Collaborations

• CITI Department, TELECOM SudParis, (E. Monfrini)
• Center for Imaging Science, Johns Hopkins University, Baltimore, USA
• CRAN, Nancy-University
• INRA Nantes
• LASELDI, Besançon University (A. Lelu) [12],
• INIST, CNRS Nancy
• University Tunis El Manar
• Liège University, Belgium
• Institute for Genomics and Bioinformatics,University of California, USA

Keywords

Statistical learning theory, kernel methods, data mining, computational biology.