A sparse grid based method for generative dimensionality reduction of high-dimensional data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: https://doi.org/10.1016/j.jcp.2015.12.033
In: Bonn : Institut für Numerische Simulation (INS), 2015
- Erschienen in
-
INS Preprints ; 1514
- Ereignis
-
Veröffentlichung
- (wo)
-
Bonn
- (wer)
-
Universitäts- und Landesbibliothek Bonn
- (wann)
-
2015
- Urheber
-
Bohn, Bastian
Garcke, Jochen
Griebel, Michael
- Handle
-
20.500.11811/11893
- URN
-
urn:nbn:de:101:1-2408220254156.430125504470
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:48 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
- Bohn, Bastian
- Garcke, Jochen
- Griebel, Michael
- Universitäts- und Landesbibliothek Bonn
Entstanden
- 2015
Ähnliche Objekte (12)
A sparse grid based generative topographic mapping for the dimensionality reduction of high-dimensional data
Spatially adaptive sparse grids for high-dimensional problems
Optimal Grid-Clustering : Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Dimensionality reduction of high-dimensional data with a non-linear principal component aligned generative topographic mapping
Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids
Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
Geometric structure of high-dimensional data and dimensionality reduction
Sparse grids and applications
EXAHD - A massively parallel fault tolerant sparse grid approach for high-dimensional turbulent plasma simulations
The ANOVA decomposition and generalized sparse grid methods for the high-dimensional backward Kolmogorov equation
Inference for high-dimensional sparse econometric models
Correction to: Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
A sparse grid based generative topographic mapping for the dimensionality reduction of high-dimensional data
Spatially adaptive sparse grids for high-dimensional problems
Optimal Grid-Clustering : Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Dimensionality reduction of high-dimensional data with a non-linear principal component aligned generative topographic mapping
Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids
Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
Geometric structure of high-dimensional data and dimensionality reduction
Sparse grids and applications
EXAHD - A massively parallel fault tolerant sparse grid approach for high-dimensional turbulent plasma simulations
The ANOVA decomposition and generalized sparse grid methods for the high-dimensional backward Kolmogorov equation
Inference for high-dimensional sparse econometric models
Correction to: Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
A sparse grid based generative topographic mapping for the dimensionality reduction of high-dimensional data
Spatially adaptive sparse grids for high-dimensional problems
Optimal Grid-Clustering : Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Dimensionality reduction of high-dimensional data with a non-linear principal component aligned generative topographic mapping
Solving High-Dimensional Dynamic Portfolio Choice Models with Hierarchical B-Splines on Sparse Grids
Solving high-dimensional dynamic portfolio choice models with hierarchical B-splines on sparse grids
Geometric structure of high-dimensional data and dimensionality reduction
Sparse grids and applications
EXAHD - A massively parallel fault tolerant sparse grid approach for high-dimensional turbulent plasma simulations
The ANOVA decomposition and generalized sparse grid methods for the high-dimensional backward Kolmogorov equation
Inference for high-dimensional sparse econometric models