- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: International Journal for Numerical Methods in Engineering 125 (14): e7481 (2024-07-30)
- Ereignis
-
Veröffentlichung
- (wo)
-
Hamburg
- (wer)
-
Technische Universität Hamburg. Universitätsbibliothek
- (wann)
-
2024
- Urheber
- DOI
-
10.15480/882.13356
- URN
-
urn:nbn:de:101:1-2410160310284.446119617906
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mcculloch, Jeremy
- Linka, Kevin
- Kuhl, Ellen
- Technische Universität Hamburg. Universitätsbibliothek
Entstanden
- 2024
Ähnliche Objekte (12)
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Sparse quantile regression
Sparse approximate inverses for preconditioning, smoothing, and regularization
Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization
Manifold regularization for sparse unmixing of hyperspectral images
Cluster regularization via a hierarchical feature regression
Sparse network asymptotics for logistic regression
Bayesian regularization in regression models for survival data
Bayesian regularization in regression models for survival data
A projection and a variational regularization method for sparse inverse problems
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
Multivariate Factorisable Sparse Asymmetric Least Squares Regression
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Sparse quantile regression
Sparse approximate inverses for preconditioning, smoothing, and regularization
Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization
Manifold regularization for sparse unmixing of hyperspectral images
Cluster regularization via a hierarchical feature regression
Sparse network asymptotics for logistic regression
Bayesian regularization in regression models for survival data
Bayesian regularization in regression models for survival data
A projection and a variational regularization method for sparse inverse problems
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data
Multivariate Factorisable Sparse Asymmetric Least Squares Regression
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Sparse quantile regression
Sparse approximate inverses for preconditioning, smoothing, and regularization
Sparse Approximate Inverses for Preconditioning, Smoothing, and Regularization
Manifold regularization for sparse unmixing of hyperspectral images
Cluster regularization via a hierarchical feature regression
Sparse network asymptotics for logistic regression
Bayesian regularization in regression models for survival data
Bayesian regularization in regression models for survival data
A projection and a variational regularization method for sparse inverse problems
Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data