Annale

• Examen 2015-2016

Bibliographies

[1] M.-R. Amini - Apprentissage Machine: de la théorie à la pratique, Eyrolles, 2015.
[2] P. L. Bartlett, M. I. Jordan and J.D. McAuliffe Convexity, classification, and risk bounds. Journal of the American Statistical Association, 101(473): 138–156, 2006.
[3] M. Mohri, A. Rostamzadeh & A. Talwalker - Foundations of Machine Learning, MIT Press, 2012.
[4] F. Rosenblatt. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65: 386–408. 1958
[5] D. E. Rumelhart, G. E. Hinton and R. Williams. Learning internal representations by error propagation. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, 1986
[6] G. Widrow and M. Hoff. Adaptive switching circuits. Institute of Radio Engineers, Western Electronic Show and Convention, Convention Record, 4: 96–104. 1960.