Geodesic
On Adaptive Estimators in Statistical Learning Theory
Informatics and Automation, Function theory and nonlinear partial differential equations, Tome 260 (2008), pp. 193-201.

Voir la notice de l'article provenant de la source Math-Net.Ru

We study the problem of reconstructing an unknown function from a bounded set of its values given with random errors at random points. The function is assumed to belong to a function class from a certain family. 
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S. V. Konyagin; E. D. Livshits. On Adaptive Estimators in Statistical Learning Theory. Informatics and Automation, Function theory and nonlinear partial differential equations, Tome 260 (2008), pp. 193-201. http://geodesic.mathdoc.fr/item/TRSPY_2008_260_a12/

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