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1 Ergebnisse
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Research on Features of Learning Engagement Based on Random..:
, In:
2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)
,
Wang, Ping
;
Liu, Ke-man
- p. 1088-1093 , 2022
Link:
https://doi.org/10.1109/ICMSP55950.2022.9858950
RT T1 <cTitle>2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)</cTitle>: T1 <Title>Research on Features of Learning Engagement Based on Random Forest</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9858950&Exemplar=1&LAN=DE A1 Wang, Ping A1 Liu, Ke-man YR 2022 K1 Machine learning algorithms K1 Education K1 Semantics K1 Signal processing algorithms K1 Signal processing K1 Behavioral sciences K1 Classification algorithms K1 Learning Engagement K1 Random Forest K1 Feature importance SP 1088 OP 1093 LK http://dx.doi.org/https://doi.org/10.1109/ICMSP55950.2022.9858950 DO https://doi.org/10.1109/ICMSP55950.2022.9858950 SF ELIB - SuUB Bremen
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