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16524 Inference Optimization using Relational Algebra
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Evers, S. and Fokkinga, M.M. and Apers, P.M.G. (2009) Inference Optimization using Relational Algebra. Technical Report TR-CTIT-09-38, Centre for Telematics and Information Technology University of Twente, Enschede. ISSN 1381-3625

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Abstract

Exact inference procedures in Bayesian networks can be expressed using relational algebra; this provides a common ground for optimizations from the AI and database communities. Specifically, the ability to accomodate sparse representations of probability distributions opens up the way to optimize for their cardinality instead of the dimensionality; we apply this in a sensor data model.

Item Type:Internal Report (Technical Report)
Research Group:EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:CADMAI: Towards Context-Aware Data Management for Ambient Intelligence
Uncontrolled Keywords:relational algebra, probabilistic inference, Bayesian networks, sensor data
ID Code:16524
Deposited On:20 November 2009
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