Large-scale operator-valued kernel regression. (Régression à noyaux à valeurs opérateurs pour grands ensembles de données)

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Summary

This thesis proposes and study scalable methods to perform regression with Operator-Valued Kernels, and develops a general framework devoted to the approximation of shift-invariant MErcer kernels on Locally Compact Abelian groups.

Type
preprint
Published
2017-07-03
Cited by
1
References
182
Access
Open access

Keywords

Operator (biology), Scalar (mathematics), Bounding overwatch, Hilbert space, Kernel (algebra)

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