Research activities in Machine Learning

My research work, present activities and projects.

Fast is fine, but accuracy is everything.
Wyatt Earp.

I belong to the team GRAppA (Research group on Machine Learning).

Previously, I successfully defended a PhD thesis entitled Language bias in the generate-and-test algorithm and Contributions to disjunctive learning. This work was supervised by Céline Rouveirol at the Laboratory of Computer Science (LRI, Paris-Sud University).

My current main interests are:

  • voting methods like boosting and applications to various frameworks in which a least general generalization algorithm exists ; in this task, I am developping volata, a java library that implements ensemble methods and least general generalization algorithms ; volata allows such boosting simulations ;
  • unsupervised learning and text clustering with Laurent Candillier (co-supervised with Isabelle Tellier) ;
  • information extraction with Patrick Marty ;
  • problems involved by medical data like the INDANA database.

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Aix - Marseille.


(le 21 avril 2006)

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