@prefix owl: <http://www.w3.org/2002/07/owl#> .
@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#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-WN0DP74R-S>
  skos:prefLabel "classifieur"@fr, "classifier"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-Q2G806PP-1> .

<http://data.loterre.fr/ark:/67375/8LP-Q2G806PP-1>
  skos:prefLabel "classifieur à processus gaussien"@fr, "Gaussian process classifier"@en ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:definition "Classifieur probabiliste non paramétrique. (Loterre)"@fr, "A nonparametric, probabilistic classifier that directly models the posterior probability of class membership. (Loterre)"@en ;
  skos:hiddenLabel "Classifieur à processus gaussien"@fr, "Gaussian Process Classifier"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-WN0DP74R-S> ;
  skos:example "We experimented with two classifiers: Logistic Regression classifier and Gaussian Processes classifier. (Sedova & Roth, 2023)"@en, "Rodrigues et al. (2014) also used the EM approach of labelling datasets by experts through the use of Gaussian Process classifiers. (Osei-Brefo, Markchom & Liang, 2021)"@en, "Lueken et al. (2015) employed Gaussian process classifiers to distinguish between healthy controls and individuals with specific phobia subtypes (e.g. snake and dental phobias) focusing on gray and white matter volumetric data from MRI recordings. (Das, King & Hughes, 2024)"@en, "As a Bayesian alternative to GPPL we test a Gaussian process classifier (GPC) for the classification task by concatenating the feature vectors of arguments in the same way as the SVM classifier. (Simpson & Gurevych, 2018)"@en ;
  a skos:Concept ;
  skos:exactMatch ltk:-RCRLR927-5 ;
  dc:modified "2024-05-03T07:44:20"^^xsd:dateTime .