Blog: Relational modeling with unknown objects (2004)
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| Venue: | ICML 2004 Workshop on Statistical Relational Learning and Its Connections |
| Citations: | 25 - 1 self |
BibTeX
@INPROCEEDINGS{Milch04blog:relational,
author = {Brian Milch and Bhaskara Marthi and Stuart Russell},
title = {Blog: Relational modeling with unknown objects},
booktitle = {ICML 2004 Workshop on Statistical Relational Learning and Its Connections},
year = {2004},
pages = {67--73}
}
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Abstract
In many real-world probabilistic reasoning problems, one of the questions we want to answer is: how many objects are out there? Examples of such problems range from multitarget tracking to extracting information from text documents. However, most probabilistic modeling formalisms — even firstorder ones — assume a fixed, known set of objects. We introduce a language called Blog for specifying probability distributions over relational structures that include varying sets of objects. In this paper we present Blog informally, by means of example models for multi-target tracking and citation matching. We discuss some attractive features of Blog models and some avenues of future work. 1.
