(Enter summary)
Abstract: This paper presents several investigations into the prospects for
identifying meaningful structures in empirical data, namely, structures
permitting effective organization of the data to meet requirements of
future queries. We propose a general framework whereby the notion
of identifiability is given a precise formal definition similar to that of
learnability. Using this framework, we then explore if a tractable procedure
exists for deciding whether a given relation is decomposable
into... (Update)
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BibTeX entry: (Update)
Dechter, R. & Pearl, J., "Structure identification in relational data", Artificial Intelligence 58 (1992) pp. 237--270. http://citeseer.ist.psu.edu/dechter97structure.html More
@article{ dechter92structure,
author = "Rina Dechter and Judea Pearl",
title = "Structure Identification in Relational Data",
journal = "Artificial Intelligence",
volume = "58",
number = "1-3",
pages = "237-270",
year = "1992",
url = "citeseer.ist.psu.edu/dechter97structure.html" }
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