Milch, Brian ;
Marthi, Bhaskara ;
Russell, Stuart ;
Sontag, David ;
Ong, Daniel L. ;
Kolobov, Andrey
BLOG: Probabilistic Models with Unknown Objects
Abstract
We introduce BLOG, a formal language for defining probability models with unknown objects and identity uncertainty. A BLOG model describes a generative process in which some steps add objects to the world, and others determine attributes and relations on these objects. Subject to certain acyclicity constraints, a BLOG model specifies a unique probability distribution over first-order model structures that can contain varying and unbounded numbers of objects. Furthermore, inference algorithms exist for a large class of BLOG models.
BibTeX - Entry
@InProceedings{milch_et_al:DSP:2006:416,
author = {Brian Milch and Bhaskara Marthi and Stuart Russell and David Sontag and Daniel L. Ong and Andrey Kolobov},
title = {BLOG: Probabilistic Models with Unknown Objects},
booktitle = {Probabilistic, Logical and Relational Learning - Towards a Synthesis},
year = {2006},
editor = {Luc De Raedt and Thomas Dietterich and Lise Getoor and Stephen H. Muggleton},
number = {05051},
series = {Dagstuhl Seminar Proceedings},
ISSN = {1862-4405},
publisher = {Internationales Begegnungs- und Forschungszentrum f{\"u}r Informatik (IBFI), Schloss Dagstuhl, Germany},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2006/416},
annote = {Keywords: Knowledge representation, probability, first-order logic, identity uncertainty, unknown objects}
}
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Keywords: |
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Knowledge representation, probability, first-order logic, identity uncertainty, unknown objects |
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Seminar: |
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05051 - Probabilistic, Logical and Relational Learning - Towards a Synthesis
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2006 |
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2006 |
2006