@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

<http://data.loterre.fr/ark:/67375/8LP-RTVC3B7T-9>
  skos:prefLabel "algorithme de classification"@fr, "classification algorithm"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-PB7RH9ZN-J> .

<http://data.loterre.fr/ark:/67375/8LP-PB7RH9ZN-J>
  skos:example "Le SVM utilise des descripteurs qui ciblent spécifiquement les marqueurs affixaux. (Dalloux, 2017)"@fr, "The SVM was trained on the examples of positive and negative segments i.e. paragraphs with and without funding information which could be found in the \"gold\" set described in the previous section. (Kayal, Afzal, Tsatsaronis, Katrenko, Coupet, Doornenbal & Gregory, 2017)"@en, "Finally Support vector machines (SVMs) were used to predict acoustic variations for all the leaves of main tree (at word and syllable layers) and subtrees (at phone layer). (Ai, 2013)"@en, "On the other hand SVM reached high performances on almost all the evaluation metrics of the models trained. (Beccaria, Gagliardi & Kokkinakis, 2022)"@en, "A linear Support Vector Machine is used for classification and feature vectors are created using relative frequency values. (Malmasi & Dras, 2015)"@en, "The regularization parameter for the SVM was found to be C = 2 based on cross-validation experiments to maximize the final recall. (Kayal, Afzal, Tsatsaronis, Katrenko, Coupet, Doornenbal & Gregory, 2017)"@en ;
  skos:altLabel "SVM"@fr, "SVM"@en, "machine à vecteurs de support"@fr ;
  skos:definition "A supervised machine learning model for data classification and regression analysis which optimizes the width of the gap between the points of separate categories in feature space. (Adapted from NIST, The Language of Trustworthy AI: An In-Depth Glossary of Terms, 2023)"@en, "Algorithme d'apprentissage supervisé issu d'une généralisation des classificateurs linéaires et destiné à résoudre des problèmes de classification et de régression. (Data Franca)"@fr ;
  skos:prefLabel "séparateur à vaste marge"@fr, "support vector machine"@en ;
  a skos:Concept ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-RTVC3B7T-9> ;
  skos:exactMatch ltk:-T1JFKRHW-C, <https://www.wikidata.org/wiki/Q282453> ;
  dc:modified "2024-06-12T15:08:19"^^xsd:dateTime ;
  skos:hiddenLabel "Support vector machine"@en, "Séparateur à vaste marge"@fr ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .