BibTex format
@inproceedings{Tuckey:2020,
author = {Tuckey, D and Broda, K and Russo, A},
title = {Towards Structure Learning under the Credal Semantics},
year = {2020}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - We present the Credal-FOIL system for structure learning of probabilistic logic programs under the credal semantics. The credal semantics is a generalisation of the distribution semantics based on the answer set semantics. Our learning approach takes a set of examples that are atoms with target lower and upper bounds probabilities and a background knowledge that can have negative loops. We define accuracy in this setting and learn a set of normal rules without loops that maximises this notion of accuracy. We showcase the system on two proof-of-concept examples.
AU - Tuckey,D
AU - Broda,K
AU - Russo,A
PY - 2020///
SN - 1613-0073
TI - Towards Structure Learning under the Credal Semantics
ER -