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1 Ergebnisse
1
Semi-supervised Nonnegative Matrix Factorization for Docume..:
, In:
2021 55th Asilomar Conference on Signals, Systems, and Computers
,
Haddock, Jamie
;
Kassab, Lara
;
Li, Sixian
... - p. 1355-1360 , 2021
Link:
https://doi.org/10.1109/IEEECONF53345.2021.9723109
RT T1 <cTitle>2021 55th Asilomar Conference on Signals, Systems, and Computers</cTitle>: T1 <Title>Semi-supervised Nonnegative Matrix Factorization for Document Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9723109&Exemplar=1&LAN=DE A1 Haddock, Jamie A1 Kassab, Lara A1 Li, Sixian A1 Kryshchenko, Alona A1 Grotheer, Rachel A1 Sizikova, Elena A1 Wang, Chuntian A1 Merkh, Thomas A1 Madushani, R. W. M. A. A1 Ahn, Miju A1 Needell, Deanna A1 Leonard, Kathryn YR 2021 SN 2576-2303 K1 Training K1 Maximum a posteriori estimation K1 Computers K1 Maximum likelihood estimation K1 Uncertainty K1 Computational modeling K1 Supervised learning K1 semi-supervised nonnegative matrix factorization K1 maximum likelihood estimation K1 multiplicative updates SP 1355 OP 1360 LK http://dx.doi.org/https://doi.org/10.1109/IEEECONF53345.2021.9723109 DO https://doi.org/10.1109/IEEECONF53345.2021.9723109 SF ELIB - SuUB Bremen
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