<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02740415</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-25T04:34:12+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost</title>
            <author role="aut">
              <persName>
                <forename type="first">Hao</forename>
                <surname>Hu</surname>
              </persName>
              <email type="md5">3b0358bd4f24625fa8a5087366ec62ac</email>
              <email type="domain">laas.fr</email>
              <idno type="idhal" notation="string">hao-hu</idno>
              <idno type="idhal" notation="numeric">185111</idno>
              <idno type="halauthorid" notation="string">50012-185111</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-4103-3098</idno>
              <affiliation ref="#struct-395452"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Mohamed</forename>
                <surname>Siala</surname>
              </persName>
              <email type="md5">3bb8707e4055ce7c75ce725e22649bb1</email>
              <email type="domain">laas.fr</email>
              <idno type="idhal" notation="string">mohamed-siala</idno>
              <idno type="idhal" notation="numeric">172049</idno>
              <idno type="halauthorid" notation="string">43001-172049</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-9503-4091</idno>
              <idno type="IDREF">https://www.idref.fr/186243138</idno>
              <affiliation ref="#struct-395452"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Emmanuel</forename>
                <surname>Hébrard</surname>
              </persName>
              <email type="md5">a3ddf6848e34620febd3791191920f14</email>
              <email type="domain">laas.fr</email>
              <idno type="idhal" notation="string">emmanuel-hebrard</idno>
              <idno type="idhal" notation="numeric">5980</idno>
              <idno type="halauthorid" notation="string">15463-5980</idno>
              <idno type="IDREF">https://www.idref.fr/074313606</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-3131-0709</idno>
              <orgName ref="#struct-395452"/>
              <affiliation ref="#struct-395452"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Marie-José</forename>
                <surname>Huguet</surname>
              </persName>
              <email type="md5">5e2e3809896825d82dfe01b116792298</email>
              <email type="domain">laas.fr</email>
              <idno type="idhal" notation="string">marie-jose-huguet</idno>
              <idno type="idhal" notation="numeric">13938</idno>
              <idno type="halauthorid" notation="string">18139-13938</idno>
              <idno type="IDREF">https://www.idref.fr/157478912</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-6269-383X</idno>
              <orgName ref="#struct-395452"/>
              <affiliation ref="#struct-395452"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>HAO</forename>
                <surname>HU</surname>
              </persName>
              <email type="md5">3b0358bd4f24625fa8a5087366ec62ac</email>
              <email type="domain">laas.fr</email>
            </editor>
            <funder ref="#projanr-50372"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2020-06-02 23:05:02</date>
              <date type="whenModified">2025-10-22 18:04:08</date>
              <date type="whenReleased">2020-06-12 16:23:55</date>
              <date type="whenProduced">2020-07-11</date>
              <date type="whenEndEmbargoed">2020-06-02</date>
              <ref type="file" target="https://laas.hal.science/hal-02740415v1/document">
                <date notBefore="2020-06-02"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://laas.hal.science/hal-02740415v1/file/MaxSAT_DT_IJCAI_CRC.pdf" id="file-2740415-2484171">
                <date notBefore="2020-06-02"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="893656">
                <persName>
                  <forename>HAO</forename>
                  <surname>HU</surname>
                </persName>
                <email type="md5">3b0358bd4f24625fa8a5087366ec62ac</email>
                <email type="domain">laas.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02740415</idno>
            <idno type="halUri">https://laas.hal.science/hal-02740415</idno>
            <idno type="halBibtex">hu:hal-02740415</idno>
            <idno type="halRefHtml">&lt;i&gt;IJCAI-PRICAI 2020, 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence&lt;/i&gt;, Jul 2020, Yokohama, Japan</idno>
            <idno type="halRef">IJCAI-PRICAI 2020, 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-2740415-2484171"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UNIV-TLSE2">Université Toulouse 2</idno>
            <idno type="stamp" n="UNIV-TLSE3">Université de Toulouse</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="INSA-TOULOUSE">Institut National des Sciences Appliquées de Toulouse</idno>
            <idno type="stamp" n="LAAS">Laboratoire d'analyse et d'architecture des systèmes</idno>
            <idno type="stamp" n="LAAS-ROC" corresp="LAAS-DECISION-ET-OPTIMISATION">Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes</idno>
            <idno type="stamp" n="UT1-CAPITOLE">Université Toulouse 1 Capitole</idno>
            <idno type="stamp" n="LAAS-DECISION-ET-OPTIMISATION" corresp="LAAS">LAAS-Décision et Optimisation</idno>
            <idno type="stamp" n="INSA-GROUPE">Groupe INSA</idno>
            <idno type="stamp" n="INSA-TOULOUSE-GEI" corresp="INSA-TOULOUSE">Génie Electrique et Informatique - INSA Toulouse</idno>
            <idno type="stamp" n="PNRIA">Programme National de Recherche en IA</idno>
            <idno type="stamp" n="ANR">ANR</idno>
            <idno type="stamp" n="ANITI">ANITI - Artificial and Natural Intelligence Toulouse Institute</idno>
            <idno type="stamp" n="TOULOUSE-INP">Toulouse - INP</idno>
            <idno type="stamp" n="UNIV-UT3">Université Toulouse 3</idno>
            <idno type="stamp" n="UT3-INP">Université de Toulouse / Toulouse INP</idno>
            <idno type="stamp" n="UT3-TOULOUSEINP">Université de Toulouse / Toulouse INP</idno>
            <idno type="stamp" n="TEST7-HALCNRS">test 7 du portail hal cnrs</idno>
            <idno type="stamp" n="ANR-IA-19" corresp="ANR-IA">ANR-IA-19</idno>
            <idno type="stamp" n="ANR-IA">ANR-IA</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Hao</forename>
                    <surname>Hu</surname>
                  </persName>
                  <email type="md5">3b0358bd4f24625fa8a5087366ec62ac</email>
                  <email type="domain">laas.fr</email>
                  <idno type="idhal" notation="string">hao-hu</idno>
                  <idno type="idhal" notation="numeric">185111</idno>
                  <idno type="halauthorid" notation="string">50012-185111</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-4103-3098</idno>
                  <affiliation ref="#struct-395452"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Mohamed</forename>
                    <surname>Siala</surname>
                  </persName>
                  <email type="md5">3bb8707e4055ce7c75ce725e22649bb1</email>
                  <email type="domain">laas.fr</email>
                  <idno type="idhal" notation="string">mohamed-siala</idno>
                  <idno type="idhal" notation="numeric">172049</idno>
                  <idno type="halauthorid" notation="string">43001-172049</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-9503-4091</idno>
                  <idno type="IDREF">https://www.idref.fr/186243138</idno>
                  <affiliation ref="#struct-395452"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Emmanuel</forename>
                    <surname>Hébrard</surname>
                  </persName>
                  <email type="md5">a3ddf6848e34620febd3791191920f14</email>
                  <email type="domain">laas.fr</email>
                  <idno type="idhal" notation="string">emmanuel-hebrard</idno>
                  <idno type="idhal" notation="numeric">5980</idno>
                  <idno type="halauthorid" notation="string">15463-5980</idno>
                  <idno type="IDREF">https://www.idref.fr/074313606</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-3131-0709</idno>
                  <orgName ref="#struct-395452"/>
                  <affiliation ref="#struct-395452"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Marie-José</forename>
                    <surname>Huguet</surname>
                  </persName>
                  <email type="md5">5e2e3809896825d82dfe01b116792298</email>
                  <email type="domain">laas.fr</email>
                  <idno type="idhal" notation="string">marie-jose-huguet</idno>
                  <idno type="idhal" notation="numeric">13938</idno>
                  <idno type="halauthorid" notation="string">18139-13938</idno>
                  <idno type="IDREF">https://www.idref.fr/157478912</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-6269-383X</idno>
                  <orgName ref="#struct-395452"/>
                  <affiliation ref="#struct-395452"/>
                </author>
              </analytic>
              <monogr>
                <idno type="localRef">Rapport LAAS n° 20096</idno>
                <meeting>
                  <title>IJCAI-PRICAI 2020, 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence</title>
                  <date type="start">2020-07-11</date>
                  <date type="end">2020-07-17</date>
                  <settlement>Yokohama</settlement>
                  <country key="JP">Japan</country>
                </meeting>
                <imprint>
                  <date type="datePub">2020-07</date>
                </imprint>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="info.info-ai">Computer Science [cs]/Artificial Intelligence [cs.AI]</classCode>
              <classCode scheme="halDomain" n="info.info-lg">Computer Science [cs]/Machine Learning [cs.LG]</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Recently, several exact methods to compute decision trees have been introduced. On the one hand, these approaches can find optimal trees for various objective functions including total size, depth or accuracy on the training set and therefore. On the other hand, these methods are not yet widely used in practice and classic heuristics are often still the methods of choice. In this paper we show how the SAT model proposed by [Narodytska et al., 2018] can be lifted to a MaxSAT approach, making it much more practically relevant. In particular , it scales to much larger data sets; the objective function can easily be adapted to take into account combinations of size, depth and accuracy on the training set; and the fine-grained control of the objective function it offers makes it particularly well suited for boosting. Our experiments show promising results. In particular, we show that the prediction quality of our approach often exceeds state of-the-art heuristic methods. We also show that the MaxSAT formulation is well adapted for boosting using the well-known AdaBoost Algorithm.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-395452" status="OLD">
          <orgName>Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes</orgName>
          <orgName type="acronym">LAAS-ROC</orgName>
          <date type="end">2025-01-01</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.laas.fr/public/fr/roc</ref>
          </desc>
          <listRelation>
            <relation active="#struct-459" type="direct"/>
            <relation active="#struct-81148" type="indirect"/>
            <relation name="443875" active="#struct-443875" type="indirect"/>
            <relation active="#struct-116255" type="indirect"/>
            <relation active="#struct-301232" type="indirect"/>
            <relation active="#struct-443875" type="indirect"/>
            <relation active="#struct-116256" type="indirect"/>
            <relation active="#struct-217752" type="indirect"/>
            <relation name="UPR8001" active="#struct-441569" type="indirect"/>
            <relation active="#struct-448187" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-459" status="OLD">
          <idno type="IdRef">199278792</idno>
          <idno type="ISNI">0000 0001 2188 216X </idno>
          <idno type="RNSR">199517454Y</idno>
          <idno type="ROR">https://ror.org/03vcm6439</idno>
          <orgName>Laboratoire d'analyse et d'architecture des systèmes</orgName>
          <orgName type="acronym">LAAS</orgName>
          <date type="start">1968-01-01</date>
          <date type="end">2025-01-01</date>
          <desc>
            <address>
              <addrLine>7 Av du colonel Roche 31077 TOULOUSE CEDEX 4</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.laas.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-81148" type="direct"/>
            <relation name="443875" active="#struct-443875" type="indirect"/>
            <relation active="#struct-116255" type="direct"/>
            <relation active="#struct-301232" type="indirect"/>
            <relation active="#struct-443875" type="indirect"/>
            <relation active="#struct-116256" type="direct"/>
            <relation active="#struct-217752" type="direct"/>
            <relation name="UPR8001" active="#struct-441569" type="direct"/>
            <relation active="#struct-448187" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-81148" status="VALID">
          <idno type="IdRef">026404354</idno>
          <idno type="ISNI">0000000121902837</idno>
          <idno type="ROR">https://ror.org/0443n9e75</idno>
          <orgName>Université Toulouse Capitole</orgName>
          <orgName type="acronym">UT Capitole</orgName>
          <date type="start">1970-01-01</date>
          <desc>
            <address>
              <addrLine>2 rue du Doyen-Gabriel-Marty - 31042 Toulouse Cedex 9</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.ut-capitole.fr/</ref>
          </desc>
          <listRelation>
            <relation name="443875" active="#struct-443875" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-443875" status="VALID">
          <idno type="ROR">https://ror.org/017tgbk05</idno>
          <orgName>Communauté d'universités et établissements de Toulouse</orgName>
          <orgName type="acronym">Comue de Toulouse</orgName>
          <desc>
            <address>
              <addrLine>41 Allée Jules Guesde, 31000 Toulouse</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.univ-toulouse.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-116255" status="VALID">
          <idno type="IdRef">026388766</idno>
          <idno type="ISNI">0000 0001 2286 8343</idno>
          <idno type="ROR">https://ror.org/01h8pf755</idno>
          <idno type="Wikidata">Q858979</idno>
          <orgName>Institut National des Sciences Appliquées - Toulouse</orgName>
          <orgName type="acronym">INSA Toulouse</orgName>
          <date type="start">1963-10-21</date>
          <desc>
            <address>
              <addrLine>135, avenue de Rangueil - 31077 Toulouse cedex 4</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.insa-toulouse.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-301232" type="direct"/>
            <relation active="#struct-443875" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-301232" status="VALID">
          <idno type="IdRef">162105150</idno>
          <orgName>Institut National des Sciences Appliquées</orgName>
          <orgName type="acronym">INSA</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="institution" xml:id="struct-116256" status="VALID">
          <idno type="IdRef">026403994</idno>
          <idno type="ROR">https://ror.org/04ezk3x31</idno>
          <orgName>Université Toulouse - Jean Jaurès</orgName>
          <orgName type="acronym">UT2J</orgName>
          <date type="start">1971-01-01</date>
          <desc>
            <address>
              <addrLine>5 allées Antonio Machado - 31058 Toulouse Cedex 9</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-tlse2.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-443875" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-217752" status="OLD">
          <idno type="IdRef">026404672</idno>
          <idno type="ISNI">0000000121617331</idno>
          <idno type="ROR">https://ror.org/02v6kpv12</idno>
          <idno type="Wikidata">Q1273188</idno>
          <orgName>Université Toulouse III - Paul Sabatier</orgName>
          <orgName type="acronym">UT3</orgName>
          <date type="end">2025-01-01</date>
          <desc>
            <address>
              <addrLine>118 route de Narbonne - 31062 Toulouse</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.univ-tlse3.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-443875" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-448187" status="VALID">
          <idno type="IdRef">026388820</idno>
          <idno type="ISNI">0000000121766169</idno>
          <idno type="ROR">https://ror.org/033p9g875</idno>
          <orgName>Institut National Polytechnique (Toulouse)</orgName>
          <orgName type="acronym">Toulouse INP</orgName>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.inp-toulouse.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-443875" type="direct"/>
          </listRelation>
        </org>
      </listOrg>
      <listOrg type="projects">
        <org type="anrProject" xml:id="projanr-50372" status="VALID">
          <idno type="anr">ANR-19-P3IA-0004</idno>
          <orgName>ANITI</orgName>
          <desc>Artificial and Natural Intelligence Toulouse Institute</desc>
          <date type="start">2019</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>