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Evaluating Machine Learning and Statistical Models for Gree..:

, In: 2023 International Conference on Machine Learning and Applications (ICMLA),

Yi, Katherine ; Dewar, Angelina ; Tabassum, Tartela... - p. 659-666 , 2023

Link: https://doi.org/10.1109/ICMLA58977.2023.00097

RT 
T1 <cTitle>2023 International Conference on Machine Learning and Applications (ICMLA)</cTitle>: T1 <Title>Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10459944&Exemplar=1&LAN=DE
				
A1 Yi, Katherine
A1 Dewar, Angelina
A1 Tabassum, Tartela
A1 Lu, Jason
A1 Chen, Ray
A1 Alam, Homayra
A1 Faruque, Omar
A1 Li, Sikan
A1 Morlighem, Mathieu
A1 Wang, Jianwu
YR 2023
SN 1946-0759
K1 Machine learning
K1 Environmental monitoring
K1 Glaciers
K1 Terrain mapping
K1 Climate change
K1 Statistical analysis
K1 Predictive models
K1 Surface morphology
K1 Residual neural networks
K1 Ice sheets
K1 Ice surface
K1 Ice thickness
K1 Gradient methods
K1 Boosting
K1 Recurrent neural networks
K1 Image preprocessing
K1 Gaussian processes
K1 Machine Learning Applications
K1 Model Evaluation
K1 Interpolation
K1 Greenland
K1 Subglacial Bed Topography
SP 659
OP 666
LK http://dx.doi.org/https://doi.org/10.1109/ICMLA58977.2023.00097
DO https://doi.org/10.1109/ICMLA58977.2023.00097
SF ELIB - SuUB Bremen

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