Recursive least squares method for training and pruning convolutional neural networks
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Recursive least squares method for training and pruning convolutional neural networks ; volume:53 ; number:20 ; day:26 ; month:7 ; year:2023 ; pages:24603-24618 ; date:10.2023
Applied intelligence ; 53, Heft 20 (26.7.2023), 24603-24618, 10.2023
- Creator
-
Yu, Tianzong
Zhang, Chunyuan
Ma, Meng
Wang, Yuan
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10489-023-04740-z
- URN
-
urn:nbn:de:101:1-2024011008155718120628
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:26 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
- Yu, Tianzong
- Zhang, Chunyuan
- Ma, Meng
- Wang, Yuan
- SpringerLink (Online service)
Other Objects (12)
Aerosol-cloud interactions from urban, regional, to global scales
Least-squares based layerwise pruning of Deep Neural Networks
Recursive least squares background prediction of univariate syndromic surveillance data
African politics meets Chinese engineers: The Chinese-built Standard Gauge Railway Project in Kenya and East Africa
Local Politics Meets Chinese Engineers: A Study of the Chinese-Built Standard Gauge Railway Project in Kenya
Modeling nervous system tumors with human stem cells and organoids
Toward Artificial Peptide Nanocapsules
A 3D mobile positioning method based on deep learning for hospital applications
Downregulation of METTL14 improves postmenopausal osteoporosis via IGF2BP1 dependent posttranscriptional silencing of SMAD1
UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models
Least trimmed squares
Aerosol-cloud interactions from urban, regional, to global scales
Least-squares based layerwise pruning of Deep Neural Networks
Recursive least squares background prediction of univariate syndromic surveillance data
African politics meets Chinese engineers: The Chinese-built Standard Gauge Railway Project in Kenya and East Africa
Local Politics Meets Chinese Engineers: A Study of the Chinese-Built Standard Gauge Railway Project in Kenya
Modeling nervous system tumors with human stem cells and organoids
Toward Artificial Peptide Nanocapsules
A 3D mobile positioning method based on deep learning for hospital applications
Downregulation of METTL14 improves postmenopausal osteoporosis via IGF2BP1 dependent posttranscriptional silencing of SMAD1
UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models
Least trimmed squares
Aerosol-cloud interactions from urban, regional, to global scales
Least-squares based layerwise pruning of Deep Neural Networks
Recursive least squares background prediction of univariate syndromic surveillance data
African politics meets Chinese engineers: The Chinese-built Standard Gauge Railway Project in Kenya and East Africa
Local Politics Meets Chinese Engineers: A Study of the Chinese-Built Standard Gauge Railway Project in Kenya
Modeling nervous system tumors with human stem cells and organoids
Toward Artificial Peptide Nanocapsules
A 3D mobile positioning method based on deep learning for hospital applications
Downregulation of METTL14 improves postmenopausal osteoporosis via IGF2BP1 dependent posttranscriptional silencing of SMAD1
UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models