Statistical learning theory
Teacher
ECTS:
2
Course Hours:
15
Tutorials Hours:
6
Language:
French
Examination Modality:
written exam
Objective
A DEF.
Planning
A DEF.
References
- S. Boucheron, O. Bousquet, and G. Lugosi. Theory of classification: A survey of some recent advances. ESAIM: probability and statistics, 9:323–375, 2005.
- L. Devroye, L. Györfi, and G. Lugosi. A Probabilistic Theory of Pattern Recognition, volume 31 of Applications of Mathematics. Springer-Verlag, 1996.
- A. B. Tsybakov. Introduction to nonparametric estimation. Springer, 2009.
- L. Györfi, M. Kohler, A. Krzyzak, and Harro Walk. A distribution-free theory of nonparametric regression. Springer Science & Business Media, 2002.
- S. Shalev-Shwartz and S. Ben-David. Understanding machine learning: From theory to algorithms. Cambridge University Press, 2014.