{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:04:53Z","timestamp":1784203493486,"version":"3.55.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:p>We present a new approach for distilling boosted trees into decision trees, in the objective of generating an ML model offering an acceptable compromise in terms of predictive performance and interpretability. We explain how the correction approach called rectification \ncan be used to implement such a distillation process. We show empirically that this approach provides interesting results, in comparison with an approach to distillation achieved by retraining the model.<\/jats:p>","DOI":"10.24963\/kr.2026\/76","type":"proceedings-article","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:15:53Z","timestamp":1784200553000},"page":"804-814","source":"Crossref","is-referenced-by-count":0,"title":["A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees"],"prefix":"10.24963","author":[{"given":"Gilles","family":"Audemard","sequence":"first","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sylvie","family":"Coste-Marquis","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Marquis","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"},{"name":"Institut Universitaire de France, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehdi","family":"Sabiri","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Szczepanski","sequence":"additional","affiliation":[{"name":"Univ. Artois, CNRS, CRIL, Lens, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"23nd International Conference on Principles of Knowledge Representation and Reasoning {KR-2026}","theme":"Artificial Intelligence","location":"Lisbon, Portuagal","acronym":"KR-2026","number":"23","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","European Association for Artificial Intelligence"],"start":{"date-parts":[[2026,7,20]]},"end":{"date-parts":[[2026,7,18]]}},"container-title":["Proceedings of the TwentyThird International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T11:16:14Z","timestamp":1784200574000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2026\/76"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2026\/76","relation":{},"subject":[],"published":{"date-parts":[[2026,7]]}}}