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1
The Gibbs-Rand Model:
, In:
Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
,
Chierichetti, Flavio
;
Kumar, Ravi
;
Lattanzi, Silvio
- p. 151-163 , 2022
Link:
https://dl.acm.org/doi/10.1145/3517804.3526227
RT T1 <cTitle>Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems</cTitle>: T1 <Title>The Gibbs-Rand Model</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3526227&Exemplar=1&LAN=DE A1 Chierichetti, Flavio A1 Kumar, Ravi A1 Lattanzi, Silvio PB ACM YR 2022 K1 Gibbs model K1 clustering K1 rand distance K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Sample complexity and generalization bounds K1 Information systems K1 Information systems applications K1 Data mining K1 Clustering K1 Unsupervised learning and clustering K1 Mathematics of computing K1 Probability and statistics K1 Stochastic processes K1 Randomness, geometry and discrete structures SP 151 OP 163 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3517804.3526227 DO https://dl.acm.org/doi/10.1145/3517804.3526227 SF ELIB - SuUB Bremen
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