- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Numerische Mathematik 2022, 150(1), 1-32; https://doi.org/10.1007/s00211-021-01255-y
- Classification
-
Mathematik
- Event
-
Veröffentlichung
- (where)
-
Bayreuth
- (who)
-
Universität Bayreuth
- (when)
-
2022
- Creator
-
Bauer, Maximilian
Bebendorf, Mario
Feist, Bernd
- DOI
-
doi:10.1007/s00211-021-01255-y
- URN
-
urn:nbn:de:bvb:703-epub-6055-8
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:46 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bauer, Maximilian
- Bebendorf, Mario
- Feist, Bernd
- Universität Bayreuth
Time of origin
- 2022
Other Objects (12)
Incremental kernel based approximations for Bayesian inverse problems
Applications of reproducing kernel Hilbert spaces and their approximations
Data adaptive kernel regression estimation
Moment-Closure Approximations for Contact Processes in Adaptive Networks
Moment-closure approximations for contact processes in adaptive networks
Intrinsic dimension adaptive learning rates for kernel methods
Products of independent Gaussian random matrices
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
Vector bundles and sheaf-theoretic matrix-valued kernel functions
Error Reduction in Adaptive Finite Element Approximations of Elliptic Obstacle Problems
Adaptive Space-Time Finite Element Approximations of Parabolic Optimal Control Problems
Incremental kernel based approximations for Bayesian inverse problems
Applications of reproducing kernel Hilbert spaces and their approximations
Data adaptive kernel regression estimation
Moment-Closure Approximations for Contact Processes in Adaptive Networks
Moment-closure approximations for contact processes in adaptive networks
Intrinsic dimension adaptive learning rates for kernel methods
Products of independent Gaussian random matrices
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
Vector bundles and sheaf-theoretic matrix-valued kernel functions
Error Reduction in Adaptive Finite Element Approximations of Elliptic Obstacle Problems
Adaptive Space-Time Finite Element Approximations of Parabolic Optimal Control Problems
Incremental kernel based approximations for Bayesian inverse problems
Applications of reproducing kernel Hilbert spaces and their approximations
Data adaptive kernel regression estimation
Moment-Closure Approximations for Contact Processes in Adaptive Networks
Moment-closure approximations for contact processes in adaptive networks
Intrinsic dimension adaptive learning rates for kernel methods
Products of independent Gaussian random matrices
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
Spectral properties of the kernel matrix and their relation to kernel methods in machine learning
Vector bundles and sheaf-theoretic matrix-valued kernel functions
Error Reduction in Adaptive Finite Element Approximations of Elliptic Obstacle Problems