- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource, 1 online resource.
- Language
-
Englisch
- Bibliographic citation
-
Stochastic gradient descent for optimization for nuclear systems ; volume:13 ; number:1 ; day:25 ; month:5 ; year:2023 ; pages:1-12 ; date:12.2023
Scientific reports ; 13, Heft 1 (25.5.2023), 1-12, 12.2023
- Creator
-
Williams, Austin
Walton, Noah
Maryanski, Austin
Bogetic, Sandra
Hines, Wes
Sobes, Vladimir
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-32112-7
- URN
-
urn:nbn:de:101:1-2023091013163321227261
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 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
- Williams, Austin
- Walton, Noah
- Maryanski, Austin
- Bogetic, Sandra
- Hines, Wes
- Sobes, Vladimir
- SpringerLink (Online service)
Other Objects (12)
Stochastic gradient descent for wind farm optimization
Adaptive Step Sizes for Stochastic Gradient Descent
Beyond Stochastic Gradient Descent for Large-scale Machine Learning
Kinetic models for label switching and stochastic gradient descent
Scaling up stochastic gradient descent for non-convex optimisation
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
Scalable stochastic gradient descent with improved confidence
Bolstering stochastic gradient descent with model building
Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent
Distributed stochastic gradient descent for link prediction in signed social networks
Featured Hybrid Recommendation System Using Stochastic Gradient Descent
Stochastic gradient descent for wind farm optimization
Adaptive Step Sizes for Stochastic Gradient Descent
Beyond Stochastic Gradient Descent for Large-scale Machine Learning
Kinetic models for label switching and stochastic gradient descent
Scaling up stochastic gradient descent for non-convex optimisation
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
Scalable stochastic gradient descent with improved confidence
Bolstering stochastic gradient descent with model building
Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent
Distributed stochastic gradient descent for link prediction in signed social networks
Featured Hybrid Recommendation System Using Stochastic Gradient Descent
Stochastic gradient descent for wind farm optimization
Adaptive Step Sizes for Stochastic Gradient Descent
Beyond Stochastic Gradient Descent for Large-scale Machine Learning
Kinetic models for label switching and stochastic gradient descent
Scaling up stochastic gradient descent for non-convex optimisation
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
Scalable stochastic gradient descent with improved confidence
Bolstering stochastic gradient descent with model building
Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent
Distributed stochastic gradient descent for link prediction in signed social networks