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How to Calibrate your Neural Network Classifier : Gettin..:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Culakova, Natalia
;
Murphy, Dan
;
Gante, Joao
... - p. 3499-3500 , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3406700
RT T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>How to Calibrate your Neural Network Classifier : Getting True Probabilities from a Classification Model</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3406700&Exemplar=1&LAN=DE A1 Culakova, Natalia A1 Murphy, Dan A1 Gante, Joao A1 Ledezma, Carlos A1 Hovhannisyan, Vahan A1 Mosca, Alan PB ACM YR 2020 K1 calibration K1 machine learning K1 model confidence K1 model uncertainty K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 3499 OP 3500 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3406700 DO https://dl.acm.org/doi/10.1145/3394486.3406700 SF ELIB - SuUB Bremen
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