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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: |
Amphi Ampere |
| 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. |
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