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Reducing the sampling complexity of topic models:

, In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining,

Li, Aaron Q. ; Ahmed, Amr ; Ravi, Sujith. - p. 891-900 , 2014

Link: https://dl.acm.org/doi/10.1145/2623330.2623756

RT 
T1 <cTitle>Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining</cTitle>: T1 <Title>Reducing the sampling complexity of topic models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2623756&Exemplar=1&LAN=DE
				
A1 Li, Aaron Q.
A1 Ahmed, Amr
A1 Ravi, Sujith
A1 Smola, Alexander J.
PB ACM
YR 2014
K1 alias method
K1 sampling
K1 scalability
K1 topic models
K1 Mathematics of computing
K1 Discrete mathematics
K1 Graph theory
K1 Graph algorithms
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Software and its engineering
K1 Software organization and properties
K1 Software functional properties
K1 Formal methods
K1 Software creation and management
K1 Software verification and validation
K1 Empirical software validation
K1 Extra-functional properties
K1 Software performance
K1 Social and professional topics
K1 Professional topics
K1 Management of computing and information systems
K1 Software management
K1 Software selection and adaptation
SP 891
OP 900
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2623330.2623756
DO https://dl.acm.org/doi/10.1145/2623330.2623756
SF ELIB - SuUB Bremen

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