@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix ns0: <http://www.ebi.ac.uk/swo/> .
@prefix dc: <http://purl.org/dc/terms/> .

ltk:-M6QFZ1SX-2
  skos:prefLabel "RWeka"@fr, "RWeka"@en ;
  a skos:Concept ;
  ns0:SWO_0000740 ltk:-X71J8DMS-6 .

ltk:-V4Q085KK-5
  skos:prefLabel "scikit-learn"@fr, "scikit-learn"@en ;
  a skos:Concept ;
  ns0:SWO_0000740 ltk:-X71J8DMS-6 .

ltk:-X71J8DMS-6
  skos:prefLabel "Adaboost"@en, "Adaboost"@fr ;
  skos:altLabel "boosting adaptatif"@fr, "adaptative boosting"@en ;
  a skos:Concept ;
  skos:inScheme ltk: ;
  ns0:SWO_0000085 ltk:-V4Q085KK-5, ltk:-X8WNDJ93-X, ltk:-M6QFZ1SX-2 ;
  dc:bibliographicCitation "• Freund, Y., & Schapire, R. E. (1997). A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. Journal of Computer and System Sciences, 55(1), 119‑139.  <a href=\"https://doi.org/10.1006/jcss.1997.1504\">https://doi.org/10.1006/jcss.1997.1504</a>" ;
  skos:definition "AdaBoost is a statistical classification meta-algorithm used in conjunction with many other types of learning algorithms to improve performance. (Wikipedia, retrieved on 2021/07/07)."@en, "AdaBoost est un méta-algorithme de classification statistique utilisé conjointement avec de nombreux autres types d'algorithmes d'apprentissage pour améliorer les performances. (Wikipédia, récupéré le 07/07/2021)."@fr ;
  skos:broader ltk:-WN8Z7K7X-K .

ltk:-X8WNDJ93-X
  skos:prefLabel "Datumbox"@en, "Datumbox"@fr ;
  a skos:Concept ;
  ns0:SWO_0000740 ltk:-X71J8DMS-6 .

ltk:-WN8Z7K7X-K
  skos:prefLabel "boosting"@fr, "boosting"@en ;
  a skos:Concept ;
  skos:narrower ltk:-X71J8DMS-6 .

ltk: a skos:ConceptScheme .