- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Randomnet: clustering time series using untrained deep neural networks ; day:22 ; month:6 ; year:2024 ; pages:1-30
Data mining and knowledge discovery ; (22.6.2024), 1-30
- Urheber
-
Li, Xiaosheng
Xi, Wenjie
Lin, Jessica
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s10618-024-01048-5
- URN
-
urn:nbn:de:101:1-2409161043278.016605424308
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 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
- Li, Xiaosheng
- Xi, Wenjie
- Lin, Jessica
- SpringerLink (Online service)
Ähnliche Objekte (12)
DeepBase: Deep Inspection of Neural Networks
Training deep quantum neural networks
Water consumption time series forecasting in urban centers using deep neural networks
DeepMCGCN: Multi-channel Deep Graph Neural Networks
Deep Neural Networks motivated by PDEs
Deep neural networks and PIDE discretizations
Deep limits of residual neural networks
Operator compression with deep neural networks
Optimization landscape of deep neural networks
Stress detection using deep neural networks
Towards automatically-tuned deep neural networks
Long-term missing value imputation for time series data using deep neural networks
DeepBase: Deep Inspection of Neural Networks
Training deep quantum neural networks
Water consumption time series forecasting in urban centers using deep neural networks
DeepMCGCN: Multi-channel Deep Graph Neural Networks
Deep Neural Networks motivated by PDEs
Deep neural networks and PIDE discretizations
Deep limits of residual neural networks
Operator compression with deep neural networks
Optimization landscape of deep neural networks
Stress detection using deep neural networks
Towards automatically-tuned deep neural networks
Long-term missing value imputation for time series data using deep neural networks
DeepBase: Deep Inspection of Neural Networks
Training deep quantum neural networks
Water consumption time series forecasting in urban centers using deep neural networks
DeepMCGCN: Multi-channel Deep Graph Neural Networks
Deep Neural Networks motivated by PDEs
Deep neural networks and PIDE discretizations
Deep limits of residual neural networks
Operator compression with deep neural networks
Optimization landscape of deep neural networks
Stress detection using deep neural networks
Towards automatically-tuned deep neural networks