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Nonparametric Bayesian Logic

Abstract:

The Bayesian Logic (BLOG) language was recently developed for defining first-order probability models over worlds with unknown numbers of objects. It handles important problems in AI, including data association and population estimation. This paper extends BLOG by adopting generative processes over function spaces - known as nonparametrics in the Bayesian literature. We introduce syntax for reasoning about arbitrary collections of objects, and their properties, in an intuitive manner. By expl...

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Authors


Peter Carbonetto More by this author
Jacek Kisynski More by this author
Nando de Freitas More by this author
David Poole More by this author
Publisher:
AUAI Press
Publication date:
2005
URN:
uuid:a9f2a186-33bc-4943-883c-eae4c09670c5
Local pid:
cs:7514

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