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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     author = {S. V. Konyagin and E. D. Livshits},
     title = {On {Adaptive} {Estimators} in {Statistical} {Learning} {Theory}},
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     url = {http://geodesic.mathdoc.fr/item/TRSPY_2008_260_a12/}
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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/