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1 Ergebnisse
1
An Adaptive Framework for Confidence-constraint Rule Set Le..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Li, Meng
;
Yu, Lu
;
Zhang, Ya-Lin
... - p. 3252-3261 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557088
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557088&Exemplar=1&LAN=DE A1 Li, Meng A1 Yu, Lu A1 Zhang, Ya-Lin A1 Huang, Xiaoguang A1 Shi, Qitao A1 Cui, Qing A1 Yang, Xinxing A1 Li, Longfei A1 Zhu, Wei A1 Fang, Yanming A1 Zhou, Jun PB ACM YR 2022 K1 constraint rule set learning K1 interpretable machine learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Rule learning SP 3252 OP 3261 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557088 DO https://dl.acm.org/doi/10.1145/3511808.3557088 SF ELIB - SuUB Bremen
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