- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 132 Seiten
- Sprache
-
Englisch
- Anmerkungen
-
Braunschweig, Technische Universität Braunschweig, Dissertation, 2023
- Ereignis
-
Veröffentlichung
- (wo)
-
Braunschweig
- (wer)
-
Technische Universität Braunschweig
- (wann)
-
2023
- Urheber
-
Kuhnke, Lara Patricia
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:gbv:084-2023073113128
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:44 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
- Kuhnke, Lara Patricia
- Baumann, Knut
- Kunick, Conrad
- Technische Universität Braunschweig
Entstanden
- 2023
Ähnliche Objekte (12)
Forecasting large datasets with reduced rank multivariate models
Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets
The SAR model for very large datasets: A reduced rank approach
Machine learning with computer networks: techniques, datasets, and models
Machine learning with computer networks: techniques, datasets, and models
What is in the KGQA benchmark datasets? Survey on challenges in datasets for question answering on knowledge graphs
Capsule networks for segmentation of small intravascular ultrasound image datasets
Reduced Google Matrix analysis of Wikipedia networks
Consensify : a method for generating pseudohaploid genome sequences from palaeogenomic datasets with reduced error rates
Reduced Google Matrix approach for exploring biological networks
Graphs, networks and algorithms
Explaining Graph Neural Networks
Forecasting large datasets with reduced rank multivariate models
Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets
The SAR model for very large datasets: A reduced rank approach
Machine learning with computer networks: techniques, datasets, and models
Machine learning with computer networks: techniques, datasets, and models
What is in the KGQA benchmark datasets? Survey on challenges in datasets for question answering on knowledge graphs
Capsule networks for segmentation of small intravascular ultrasound image datasets
Reduced Google Matrix analysis of Wikipedia networks
Consensify : a method for generating pseudohaploid genome sequences from palaeogenomic datasets with reduced error rates
Reduced Google Matrix approach for exploring biological networks
Graphs, networks and algorithms
Explaining Graph Neural Networks
Forecasting large datasets with reduced rank multivariate models
Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets
The SAR model for very large datasets: A reduced rank approach
Machine learning with computer networks: techniques, datasets, and models
Machine learning with computer networks: techniques, datasets, and models
What is in the KGQA benchmark datasets? Survey on challenges in datasets for question answering on knowledge graphs
Capsule networks for segmentation of small intravascular ultrasound image datasets
Reduced Google Matrix analysis of Wikipedia networks
Consensify : a method for generating pseudohaploid genome sequences from palaeogenomic datasets with reduced error rates
Reduced Google Matrix approach for exploring biological networks
Graphs, networks and algorithms