Communications publiées lors de congrès ou colloques nationaux et internationaux (64)
62.
Bersini, H. (1991). Animat's I. In P. Bourgine & F. Varela (Eds.), Proceedings of the first European Conference on Artificial Life Bradford Books - MIT Press.
63.
Bersini, H. (1991). Immune Network and Adaptive Control. In Proceedings of the first European Conference on Artificial Life (pp. 217-226) Bradford Books - MIT Press.
64.
Bersini, H. (1989). Connectionism vs GOFAI: A Brief Critical Analysis. In A. S. Jovanovic, K. Kussmaul, A. Lucia, & P. Bonissone (Eds.), Expert Systems in Structural Safety Assessment: Proceedings of an International Course. (Lecture notes in engineering, 53). Springer-Verlag.
Rapports de recherche, comptes rendus, lettres à l'éditeur, working papers (11)
1.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2001). Datadriven techniques for direct adaptive control: The lazy and the fuzzy approaches.
2.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Data-Driven Techniques for Divide-and-Conquer Adaptive Control.
3.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Multiple models for adaptive control: The lazy and the fuzzy Approach.
4.
Bontempi, G., Birattari, M., & Bersini, H. (2000). A model selection approach for local learning.
5.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Lazy learning vs. fuzzy systems: Two multiple-model approaches for adaptive control.
6.
Bontempi, G., Birattari, M., & Bersini, H. (1999). Local learning for iterated time series prediction.
7.
Birattari, M., Bontempi, G., & Bersini, H. (1998). Lazy learning meets the recursive least squares algorithm.
8.
Bontempi, G., Birattari, M., & Bersini, H. (1997). Lazy learning for modeling and control design.
9.
Bersini, H., Bontempi, G., & Birattari, M. (1997). Adaptive Memory-Based Regression Methods.