A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: 10.1016/j.jcp.2023.112599
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2024
- Creator
- DOI
-
10.18154/RWTH-2024-02307
- URN
-
urn:nbn:de:101:1-2412140034047.849095422577
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:35 AM CEST
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
- Aretz, Nicole
- Chen, Peng
- Degen, Denise
- Veroy, Karen
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2024
Other Objects (12)
Sensor selection for hyper‐parameterized linear Bayesian inverse problems
Humanistic Elements in the Educational Practice at a United States Sub-Baccalaureate Technical College
Periodic solutions for a differential inclusion problem involving the p (t)-Laplacian
Ground state solutions for magnetic Schrödinger equations with polynomial growth
Influence of the blade size on the dynamic characteristic damage identification of wind turbine blades
Humanistic elements in the educational practice at a United States sub-baccalaureate technical college
P3H4 is correlated with clinicopathological features and prognosis in bladder cancer
Humanistic elements in the educational practice at a United States sub-baccalaureate technical college
Drug-target interaction prediction based on spatial consistency constraint and graph convolutional autoencoder
Automatic Design of Robust Optimal Controller for Interval Plants using Genetic Programming and Kharitonov Theorem
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information
Oncogenic role of TWF2 in human tumors: A pan-cancer analysis
Sensor selection for hyper‐parameterized linear Bayesian inverse problems
Humanistic Elements in the Educational Practice at a United States Sub-Baccalaureate Technical College
Periodic solutions for a differential inclusion problem involving the p (t)-Laplacian
Ground state solutions for magnetic Schrödinger equations with polynomial growth
Influence of the blade size on the dynamic characteristic damage identification of wind turbine blades
Humanistic elements in the educational practice at a United States sub-baccalaureate technical college
P3H4 is correlated with clinicopathological features and prognosis in bladder cancer
Humanistic elements in the educational practice at a United States sub-baccalaureate technical college
Drug-target interaction prediction based on spatial consistency constraint and graph convolutional autoencoder
Automatic Design of Robust Optimal Controller for Interval Plants using Genetic Programming and Kharitonov Theorem
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information
Oncogenic role of TWF2 in human tumors: A pan-cancer analysis
Sensor selection for hyper‐parameterized linear Bayesian inverse problems
Humanistic Elements in the Educational Practice at a United States Sub-Baccalaureate Technical College
Periodic solutions for a differential inclusion problem involving the p (t)-Laplacian
Ground state solutions for magnetic Schrödinger equations with polynomial growth
Influence of the blade size on the dynamic characteristic damage identification of wind turbine blades
Humanistic elements in the educational practice at a United States sub-baccalaureate technical college
P3H4 is correlated with clinicopathological features and prognosis in bladder cancer
Humanistic elements in the educational practice at a United States sub-baccalaureate technical college
Drug-target interaction prediction based on spatial consistency constraint and graph convolutional autoencoder
Automatic Design of Robust Optimal Controller for Interval Plants using Genetic Programming and Kharitonov Theorem
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information