@InProceedings{vanbergerem_et_al:LIPIcs.CSL.2021.10,
author = {van Bergerem, Steffen and Schweikardt, Nicole},
title = {{Learning Concepts Described By Weight Aggregation Logic}},
booktitle = {29th EACSL Annual Conference on Computer Science Logic (CSL 2021)},
pages = {10:1--10:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-175-7},
ISSN = {1868-8969},
year = {2021},
volume = {183},
editor = {Baier, Christel and Goubault-Larrecq, Jean},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CSL.2021.10},
URN = {urn:nbn:de:0030-drops-134447},
doi = {10.4230/LIPIcs.CSL.2021.10},
annote = {Keywords: first-order definable concept learning, agnostic probably approximately correct learning, classification problems, locality, Feferman-Vaught decomposition, Gaifman normal form, first-order logic with counting, weight aggregation logic}
}