Tabular
Published in Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages • Jan 8, 2014
NobleIDNI9P53W84R38S69
Authors:,,
Andrew D. Gordon
Thore Graepel
Nicolas Rolland
Abstract
We propose a new kind of probabilistic programming language for machine learning. We write programs simply by annotating existing relational schemas with probabilistic model expressions. We describe a detailed design of our language, Tabular, complete with formal semantics and type system. A rich se...
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