@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-FZXXSFHX-G>
  skos:prefLabel "neural networks model"@en, "modèle de réseaux de neurones"@fr ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-B3ZD85CS-B> .

<http://data.loterre.fr/ark:/67375/8LP-B3ZD85CS-B>
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-FZXXSFHX-G> ;
  skos:prefLabel "modèle élève"@fr, "student model"@en ;
  a skos:Concept ;
  skos:hiddenLabel "Modèle élève"@fr, "Student model"@en ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:definition "A small neural network trained to mimic the behavior and performance of a teacher model, a network with a higher learning capacity. (Based on Han et al., On the Impact of Knowledge Distillation for Model Interpretability)"@en ;
  skos:altLabel "modèle étudiant"@fr ;
  skos:example "The student model then evaluates whether to incorporate these improvements based on its unique statistical attributes. (Li, Chen, Chen, He, Gu & Zhou, 2024)"@en, "Our approach is complimentary and can be combined with their method to distill better student models. (Feng, Yang, Cer, Arivazhagan & Wang, 2022)"@en, "The cohort training strategy enables multiple student models to teach and learn from each other. (Li, Zhao & Tan, 2023)"@en ;
  dc:modified "2025-02-12T14:40:29"^^xsd:dateTime .

