KR2026Proceedings of the 23rd International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning

Lisbon, Portugal. July 20-23, 2026.

Edited by
  1. Renata Wassermann
  2. Marie-Laure Mugnier
  3. Franz Baader

ISSN: 2334-1033
ISBN: 978-1-956792-18-8

Sponsored by
Published by

Copyright © 2026 International Joint Conferences on Artificial Intelligence Organization

A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees

  1. Gilles Audemard(Univ. Artois, CNRS, CRIL, Lens, France)
  2. Sylvie Coste-Marquis(Univ. Artois, CNRS, CRIL, Lens, France)
  3. Pierre Marquis(Univ. Artois, CNRS, CRIL, Lens, France, Institut Universitaire de France, France)
  4. Mehdi Sabiri(Univ. Artois, CNRS, CRIL, Lens, France)
  5. Nicolas Szczepanski(Univ. Artois, CNRS, CRIL, Lens, France)

Bibtex record

@inproceedings{KR2026-76,
    title     = {{A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees}},
    author    = {Audemard, Gilles and Coste-Marquis, Sylvie and Marquis, Pierre and Sabiri, Mehdi and Szczepanski, Nicolas},
    booktitle = {{Proceedings of the 23rd International Conference on Principles of Knowledge Representation and Reasoning}},
    pages     = {804--814},
    year      = {2026},
    month     = {7},
    doi       = {10.24963/kr.2026/76},
    url       = {https://doi.org/10.24963/kr.2026/76},
  }
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