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1 Ergebnisse
1
Taming the Domain Shift in Multi-source Learning for Energy..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Chang, Xiaomin
;
Li, Wei
;
Shi, Yunchuan
. - p. 3805-3816 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599910
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Taming the Domain Shift in Multi-source Learning for Energy Disaggregation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599910&Exemplar=1&LAN=DE A1 Chang, Xiaomin A1 Li, Wei A1 Shi, Yunchuan A1 Zomaya, Albert Y. PB ACM YR 2023 K1 data scarcity K1 domain adaptation K1 domain shift K1 multi-source learning K1 non-intrusive load monitoring K1 transfer learning K1 Information systems K1 Information systems applications K1 Data mining K1 Hardware K1 Power and energy K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Multi-task learning K1 Transfer learning SP 3805 OP 3816 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599910 DO https://dl.acm.org/doi/10.1145/3580305.3599910 SF ELIB - SuUB Bremen
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