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1
Deep Gaussian Processes for Air Quality Inference:
, In:
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)
,
Desai, Aadesh
;
Gujarathi, Eshan
;
Parikh, Saagar
... - p. 278-279 , 2023
Link:
https://dl.acm.org/doi/10.1145/3570991.3571004
RT T1 <cTitle>Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD)</cTitle>: T1 <Title>Deep Gaussian Processes for Air Quality Inference</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3571004&Exemplar=1&LAN=DE A1 Desai, Aadesh A1 Gujarathi, Eshan A1 Parikh, Saagar A1 Yadav, Sachin A1 Patel, Zeel A1 Batra, Nipun PB ACM YR 2023 K1 Mathematics of computing K1 Information systems K1 Computing methodologies K1 Probability and statistics K1 Information systems applications K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning K1 Data mining SP 278 OP 279 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3570991.3571004 DO https://dl.acm.org/doi/10.1145/3570991.3571004 SF ELIB - SuUB Bremen
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