12 citations · 14 across the 2 of their papers we have counts for
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cs.LG2022★ 12 cited
Separating Rule Discovery and Global Solution Composition in a Learning Classifier System
Michael Heider, Helena Stegherr, Jonathan Wurth +2
While utilization of digital agents to support crucial decision making is increasing, trust in suggestions made by these agents is hard to achieve. However, it is essential to prof…
cs.LG2020★ 2 cited
SupRB: A Supervised Rule-based Learning System for Continuous Problems
Michael Heider, David Pätzel, Jörg Hähner
We propose the SupRB learning system, a new Pittsburgh-style learning classifier system (LCS) for supervised learning on multi-dimensional continuous decision problems. SupRB learn…