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Towards Principled Synthetic Benchmarks for Explainable Rul..:
, In:
Proceedings of the Companion Conference on Genetic and Evolutionary Computation
,
Pätzel, David
;
Heider, Michael
;
Hähner, Jörg
- p. 1657-1662 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583133.3596416
RT T1 <cTitle>Proceedings of the Companion Conference on Genetic and Evolutionary Computation</cTitle>: T1 <Title>Towards Principled Synthetic Benchmarks for Explainable Rule Set Learning Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3596416&Exemplar=1&LAN=DE A1 Pätzel, David A1 Heider, Michael A1 Hähner, Jörg PB ACM YR 2023 K1 rule set learning K1 learning classifier systems K1 fuzzy rule-based systems K1 benchmarking K1 evolutionary machine learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Rule learning K1 General and reference K1 Cross-computing tools and techniques K1 Empirical studies SP 1657 OP 1662 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583133.3596416 DO https://dl.acm.org/doi/10.1145/3583133.3596416 SF ELIB - SuUB Bremen
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