Efficient sampling of constrained high-dimensional theoretical spaces with machine learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1434-6052
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Efficient sampling of constrained high-dimensional theoretical spaces with machine learning ; volume:81 ; number:12 ; day:26 ; month:12 ; year:2021 ; pages:1-9 ; date:12.2021
The European physical journal / C. C, Particles and fields ; 81, Heft 12 (26.12.2021), 1-9, 12.2021
- Urheber
-
Hollingsworth, Jacob
Ratz, Michael
Tanedo, Philip
Whiteson, Daniel
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1140/epjc/s10052-021-09941-9
- URN
-
urn:nbn:de:101:1-2022050822331086545569
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
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
- Hollingsworth, Jacob
- Ratz, Michael
- Tanedo, Philip
- Whiteson, Daniel
- SpringerLink (Online service)
Ähnliche Objekte (12)
Visualization and efficient generation of constrained high-dimensional theoretical parameter spaces
Understanding high-dimensional spaces
Visual analysis of high-dimensional spaces
Visual Analysis of High-Dimensional Spaces
Efficient high-dimensional importance sampling in mixture frameworks
Proximal nested sampling for high-dimensional Bayesian model selection
Fast Nearest Neighbor Search in High-Dimensional Spaces
Prototype based clustering in high-dimensional feature spaces
On Optimizing Nearest Neighbor Queries in High-Dimensional Spaces
High-dimensional Bayesian optimization using low-dimensional feature spaces
Capacity-Constrained Voronoi Diagrams in Finite Spaces
Capacity-Constrained Voronoi Diagrams in Continuous Spaces
Visualization and efficient generation of constrained high-dimensional theoretical parameter spaces
Understanding high-dimensional spaces
Visual analysis of high-dimensional spaces
Visual Analysis of High-Dimensional Spaces
Efficient high-dimensional importance sampling in mixture frameworks
Proximal nested sampling for high-dimensional Bayesian model selection
Fast Nearest Neighbor Search in High-Dimensional Spaces
Prototype based clustering in high-dimensional feature spaces
On Optimizing Nearest Neighbor Queries in High-Dimensional Spaces
High-dimensional Bayesian optimization using low-dimensional feature spaces
Capacity-Constrained Voronoi Diagrams in Finite Spaces
Capacity-Constrained Voronoi Diagrams in Continuous Spaces
Visualization and efficient generation of constrained high-dimensional theoretical parameter spaces
Understanding high-dimensional spaces
Visual analysis of high-dimensional spaces
Visual Analysis of High-Dimensional Spaces
Efficient high-dimensional importance sampling in mixture frameworks
Proximal nested sampling for high-dimensional Bayesian model selection
Fast Nearest Neighbor Search in High-Dimensional Spaces
Prototype based clustering in high-dimensional feature spaces
On Optimizing Nearest Neighbor Queries in High-Dimensional Spaces
High-dimensional Bayesian optimization using low-dimensional feature spaces
Capacity-Constrained Voronoi Diagrams in Finite Spaces