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HoloDetect : Few-Shot Learning for Error Detection:

, In: Proceedings of the 2019 International Conference on Management of Data,

Heidari, Alireza ; McGrath, Joshua ; Ilyas, Ihab F.. - p. 829-846 , 2019

Link: https://dl.acm.org/doi/10.1145/3299869.3319888

RT 
T1 <cTitle>Proceedings of the 2019 International Conference on Management of Data</cTitle>: T1 <Title>HoloDetect				: Few-Shot Learning for Error Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3319888&Exemplar=1&LAN=DE
				
A1 Heidari, Alireza
A1 McGrath, Joshua
A1 Ilyas, Ihab F.
A1 Rekatsinas, Theodoros
PB ACM
YR 2019
K1 data augmentation
K1 error detection
K1 few-shot learning
K1 machine learning
K1 weak supervision
K1 Information systems
K1 Data management systems
K1 Information integration
K1 Data cleaning
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Database theory
K1 Incomplete, inconsistent, and uncertain databases
K1 Computing methodologies
K1 Machine learning
K1 Learning settings
K1 Semi-supervised learning settings
K1 Hardware
K1 Robustness
K1 Fault tolerance
K1 Error detection and error correction
SP 829
OP 846
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3299869.3319888
DO https://dl.acm.org/doi/10.1145/3299869.3319888
SF ELIB - SuUB Bremen

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