Discretization Error Analysis for Tikhonov Regularization
نویسندگان
چکیده
Received (Day Month Year) Revised (Day Month Year) We study the discretization of inverse problems defined by a Carleman operator. In particular we develop a discretization strategy for this class of inverse problems and we give a convergence analysis. Learning from examples as well as the discretization of integral equations can be analysed in our setting.
منابع مشابه
Discretization Error Analysis for Tikhonov Regularization in Learning Theory
We study the connections between learning from examples and inverse problems. We show that learning from examples can be seen as the discretization of a stochastic inverse problem defined by a Carleman operator. In particular we develop a discretization strategy for this class of inverse problems and we give a convergence analysis. Our approach can be applied to other classes of problems such a...
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