@prefix jvr: <http://data.loterre.fr/ark:/67375/JVR> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix mesh: <http://id.nlm.nih.gov/mesh/vocab#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

jvr:-CB30NGKB-3
  skos:prefLabel "economics (Qualifier)"@en, "économie (Qualificatif)"@fr ;
  a mesh:Qualifier, skos:Concept .

jvr:-W6SQV79N-S
  skos:prefLabel "classification (Qualifier)"@en, "classification (Qualificatif)"@fr ;
  a mesh:Qualifier, skos:Concept .

jvr:-WVZ61GT7-0
  skos:prefLabel "tendances (Qualificatif)"@fr, "trends (Qualifier)"@en ;
  a mesh:Qualifier, skos:Concept .

jvr:-PPKJKFKK-V
  skos:prefLabel "ethics (Qualifier)"@en, "éthique (Qualificatif)"@fr ;
  a mesh:Qualifier, skos:Concept .

jvr:-SBNWSM1T-R
  skos:prefLabel "history (Qualifier)"@en, "histoire (Qualificatif)"@fr ;
  a mesh:Qualifier, skos:Concept .

jvr:-T9HQD7ST-J
  skos:prefLabel "ressources et distribution (Qualificatif)"@fr, "supply & distribution (Qualifier)"@en ;
  a mesh:Qualifier, skos:Concept .

jvr:-WJSMRGQV-L
  skos:prefLabel "statistiques et données numériques (Qualificatif)"@fr, "statistics & numerical data (Qualifier)"@en ;
  a mesh:Qualifier, skos:Concept .

jvr:-QPTF6BZ0-4
  skos:prefLabel "Supervised Machine Learning"@en, "Apprentissage machine supervisé"@fr ;
  a mesh:Descriptor, skos:Concept ;
  skos:narrower jvr:-H1WN5V2M-H .

jvr:-PQ3722L4-D
  skos:prefLabel "legislation & jurisprudence (Qualifier)"@en, "législation et jurisprudence (Qualificatif)"@fr ;
  a mesh:Qualifier, skos:Concept .

jvr: a skos:ConceptScheme .
jvr:-R3QWLHRG-V
  skos:prefLabel "standards (Qualifier)"@en, "normes (Qualificatif)"@fr ;
  a mesh:Qualifier, skos:Concept .

jvr:-H1WN5V2M-H
  skos:prefLabel "Machine à vecteur de support"@fr, "Support Vector Machine"@en ;
  mesh:allowableQualifier jvr:-PPKJKFKK-V, jvr:-W6SQV79N-S, jvr:-PQ3722L4-D, jvr:-WVZ61GT7-0, jvr:-WJSMRGQV-L, jvr:-T9HQD7ST-J, jvr:-R3QWLHRG-V, jvr:-SBNWSM1T-R, jvr:-CB30NGKB-3 ;
  dc:modified "2017-07-03"^^xsd:date ;
  owl:sameAs <http://id.nlm.nih.gov/mesh/D060388> ;
  skos:hiddenLabel "Support Vector Network"@en ;
  a mesh:Descriptor, skos:Concept ;
  skos:altLabel "Séparateur à vaste marge"@fr, "Machine à vecteur support"@fr, "SVM (Séparateur à Vaste Marge)"@fr, "Support vector machine"@fr, "SVM (Support Vector Machine)"@fr ;
  skos:broader jvr:-QPTF6BZ0-4 ;
  skos:inScheme jvr: ;
  dc:established "2012-01-01"^^xsd:date ;
  dc:created "2011-06-24"^^xsd:date ;
  skos:definition "SUPERVISED MACHINE LEARNING algorithm which learns to assign labels to objects from a set of training examples. Examples are learning to recognize fraudulent credit card activity by examining hundreds or thousands of fraudulent and non-fraudulent credit card activity, or learning to make disease diagnosis or prognosis based on automatic classification of microarray gene expression profiles drawn from hundreds or thousands of samples."@en .