Vladimir Temlyakov (University of South Carolina): Supervised learning and sampling error of integral norms in function classes
Ort: MPI für Mathematik in den Naturwissenschaften Leipzig, Inselstr. 22, E1 05 (Leibniz-Saal)
In this talk we will discuss how known results from two areas of research -- supervised learning theory and numerical integration -- can be used in sampling discretization of the square norm on different function classes.
Beginn: Sept. 18, 2019, 11 a.m.
Ende: Sept. 18, 2019, noon