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Representation Learning via Variational Bayesian Networks:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,

Barkan, Oren ; Caciularu, Avi ; Rejwan, Idan... - p. 78-88 , 2021

Link: https://dl.acm.org/doi/10.1145/3459637.3482363

RT 
T1 <cTitle>Proceedings of the 30th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Representation Learning via Variational Bayesian Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3482363&Exemplar=1&LAN=DE
				
A1 Barkan, Oren
A1 Caciularu, Avi
A1 Rejwan, Idan
A1 Katz, Ori
A1 Weill, Jonathan
A1 Malkiel, Itzik
A1 Koenigstein, Noam
PB ACM
YR 2021
K1 approximate bayesian inference
K1 bayesian hierarchical models
K1 collaborative filtering
K1 deep learning
K1 medical informatics
K1 natural language processing
K1 recommender systems
K1 representation learning
K1 variational bayesian networks
K1 Information systems
K1 Data management systems
K1 Information integration
K1 Entity resolution
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic representations
K1 Bayesian networks
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
SP 78
OP 88
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459637.3482363
DO https://dl.acm.org/doi/10.1145/3459637.3482363
SF ELIB - SuUB Bremen

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