2 papers
cs.CL2024
Rule by Rule: Learning with Confidence through Vocabulary Expansion
Albert Nössig, Tobias Hell, Georg Moser
In this paper, we present an innovative iterative approach to rule learning specifically designed for (but not limited to) text-based data. Our method focuses on progressively expa…
cs.LG2023
A Voting Approach for Explainable Classification with Rule Learning
Albert Nössig, Tobias Hell, Georg Moser
State-of-the-art results in typical classification tasks are mostly achieved by unexplainable machine learning methods, like deep neural networks, for instance. Contrarily, in this…