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The Cartographer
PAC-Reasoning in Relational Domains
March 15, 2018 Β· Declared Dead Β· π Conference on Uncertainty in Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert
arXiv ID
1803.05768
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG
Citations
4
Venue
Conference on Uncertainty in Artificial Intelligence
Last Checked
4 months ago
Abstract
We consider the problem of predicting plausible missing facts in relational data, given a set of imperfect logical rules. In particular, our aim is to provide bounds on the (expected) number of incorrect inferences that are made in this way. Since for classical inference it is in general impossible to bound this number in a non-trivial way, we consider two inference relations that weaken, but remain close in spirit to classical inference.
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