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URN: urn:nbn:de:0030-drops-4169
URL: http://drops.dagstuhl.de/opus/volltexte/2006/416/

Milch, Brian ; Marthi, Bhaskara ; Russell, Stuart ; Sontag, David ; Ong, Daniel L. ; Kolobov, Andrey

BLOG: Probabilistic Models with Unknown Objects

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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}
}

Keywords: Knowledge representation, probability, first-order logic, identity uncertainty, unknown objects
Seminar: 05051 - Probabilistic, Logical and Relational Learning - Towards a Synthesis
Issue date: 2006
Date of publication: 19.01.2006


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