Rapports de recherche, comptes rendus, lettres à l'éditeur, working papers (23)
2.
Caelen, O., & Bontempi, G. (2008). On the evolution of the expected gain of a greedy action in the bandit problem.
3.
Bontempi, G., Birattari, M., & Meyer, P. E. (2004). Sample average approximation for model selection.
4.
Bontempi, G., Birattari, M., & Meyer, P. E. (2004). Combining lazy learning, racing and subsampling for effective feature selection.
5.
Birattari, M., & Bontempi, G. (2003). The lazy package for R.
6.
Birattari, M., & Bontempi, G. (2003). The lazy package for R. Lazy learning for local regression.
7.
Bontempi, G. (2001). Predicting the performance of embedded software for system-level design.
8.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2001). Datadriven techniques for direct adaptive control: The lazy and the fuzzy approaches.
9.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Data-Driven Techniques for Divide-and-Conquer Adaptive Control.
10.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Multiple models for adaptive control: The lazy and the fuzzy Approach.
11.
Bontempi, G., Birattari, M., & Bersini, H. (2000). A model selection approach for local learning.
12.
Bontempi, G., Bertolissi, E., & Birattari, M. (2000). Predicting stock markets in boundary conditions with local models.
13.
Bertolissi, E., Birattari, M., Bontempi, G., Duchateau, A., & Bersini, H. (2000). Lazy learning vs. fuzzy systems: Two multiple-model approaches for adaptive control.