An Investigation into Mini-Batch Rule Learning

Florian Beck; Johannes Fürnkranz

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arXiv · 2106.10202

An Investigation into Mini-Batch Rule Learning

Florian Beck·Johannes Fürnkranz

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Abstract

We investigate whether it is possible to learn rule sets efficiently in a network structure with a single hidden layer using iterative refinements over mini-batches of examples. A first rudimentary version shows an acceptable performance on all but one dataset, even though it does not yet reach the performance levels of Ripper.

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Florian Beck, Johannes Fürnkranz. 2021-06-18. An Investigation into Mini-Batch Rule Learning. https://arxiv.org/abs/2106.10202

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