20 Mai - 26 Mai

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Mercredi 22 Mai
Heure: 14:00 - 14:30
Lieu: Salle B107, bâtiment B, Université de Villetaneuse
Résumé: Theoretical and Applied Research in Machine Learning
Description: Lucian SASU Some insights and experiences in theoretical and applied research are shared. The two worlds are quite different and complementary. The presentation exposes challenging topics in industry which can be addressed through ML, along with hints for researchers willing to join industrial R&D departments.
Jeudi 23 Mai
Heure: 14:00 - 15:30
Lieu: A préciser
Résumé: Universal and best approximation through Bayesian ARTMAP
Description: Lucian SASU Bayesian ARTMAP is an adaptive resonance-theory based model, which was extended to perform regression. The network is shown to have both universal and best approximation properties. The network architecture and learning algorithm are presented, along with sketches of proofs and open questions.