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1 Ergebnisse
1
An Iterative Recovery Strategy based KNN Method to Edit the..:
, In:
2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)
,
Chen, Baiyun
;
Huang, Longhai
;
Peng, Jialin
. - p. 1036-1040 , 2022
Link:
https://doi.org/10.1109/CVIDLICCEA56201.2022.9824854
RT T1 <cTitle>2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA)</cTitle>: T1 <Title>An Iterative Recovery Strategy based KNN Method to Edit the Data with Label Noise</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9824854&Exemplar=1&LAN=DE A1 Chen, Baiyun A1 Huang, Longhai A1 Peng, Jialin A1 Zhou, Hao YR 2022 K1 Training K1 Training data K1 Machine learning K1 Predictive models K1 Benchmark testing K1 Stability analysis K1 Iterative methods K1 label noise K1 iterative detecting K1 cascade recovery SP 1036 OP 1040 LK http://dx.doi.org/https://doi.org/10.1109/CVIDLICCEA56201.2022.9824854 DO https://doi.org/10.1109/CVIDLICCEA56201.2022.9824854 SF ELIB - SuUB Bremen
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