Titel

Merkliste
1 Ergebnisse

Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Ta..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,

Wilson, Tyler ; McDonald, Andrew ; Galib, Asadullah Hill.. - p. 2020-2028 , 2022

Link: https://dl.acm.org/doi/10.1145/3534678.3539464

RT 
T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Beyond Point Prediction: Capturing Zero-Inflated & Heavy-Tailed Spatiotemporal Data with Deep Extreme Mixture Models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3539464&Exemplar=1&LAN=DE
				
A1 Wilson, Tyler
A1 McDonald, Andrew
A1 Galib, Asadullah Hill
A1 Tan, Pang-Ning
A1 Luo, Lifeng
PB ACM
YR 2022
K1 deep mixture model
K1 extreme value theory
K1 heavy-tailed
K1 spatiotemporal modeling
K1 zero-inflated
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Applied computing
K1 Physical sciences and engineering
K1 Earth and atmospheric sciences
K1 Machine learning algorithms
K1 Regularization
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic inference problems
K1 Maximum likelihood estimation
SP 2020
OP 2028
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539464
DO https://dl.acm.org/doi/10.1145/3534678.3539464
SF ELIB - SuUB Bremen

Export

RefWorks (nur Desktop-Version!)
Flow (Zuerst in Flow einloggen, dann importieren)