Generator-Recognizer Networks: A Unified Approach to Probabilistic Databases

被引：0

作者：

Chen, Ruiwen ^{[1
]}

Mao, Yongyi ^{[1
]}

Kiringa, Iluju ^{[1
]}

机构：

[1] Univ Ottawa, SITE, Ottawa, ON K1N 6N5, Canada

来源：

26TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING ICDE 2010 | 2010年

关键词：

D O I：

10.1109/ICDE.2010.5447925

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：169 / 172

页数：4

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