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researcher

David Pätzel

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedSupRB: A Supervised Rule-based Learning System for Continuous Problems

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.