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2010 IEEE 26th International Conference on Data Engineering (ICDE 2010) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 169-172
Ruiwen Chen , SITE, University of Ottawa, ON, K1N 6N5, Canada
Yongyi Mao , SITE, University of Ottawa, ON, K1N 6N5, Canada
Iluju Kiringa , SITE, University of Ottawa, ON, K1N 6N5, Canada
ABSTRACT
Under the tuple-level uncertainty paradigm, we introduce a novel graphical model, Generator-Recognizer Network (GRN), as a model for probabilistic databases. The GRN modeling framework extends existing graphical models of probabilistic databases and is capable of representing a much wider range of dependence structures.
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CITATION

R. Chen, Y. Mao and I. Kiringa, "Generator-Recognizer Networks: A unified approach to probabilistic databases," 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)(ICDE), Long Beach, CA, USA, 2010, pp. 169-172.
doi:10.1109/ICDE.2010.5447925
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