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

<http://data.loterre.fr/ark:/67375/8LP-XBQBZ43R-L>
  skos:altLabel "réseau siamois"@fr, "siamese network"@en, "réseau neuronal siamois"@fr, "twin network"@en ;
  skos:example "Each encoder network in the twin network is a 5-layer MLP with a 20% dropout between the layers and an output embedding vector of dimension 384. (Kumaran, Rowe, Mott, Chaturvedi & Lester, 2023)"@en, "Serdyuk et al. (2017) proposed a twin network to regularize the hidden states of the left-to-right decoder with the future-aware right-toleft decoder. (Liu, Tan, Tao, Fu, Zhao, Liu & Yan, 2022)"@en, "This study leverages various machine learning (ML) approaches including Support Vector Regression (SVR) and Random Forest deep learning (DL) techniques such as Siamese Neural Networks and transformerbased models such as MiniLM-L6-v2 Marathisbert Telugu-sentence-bert-nli and Robertabne-sentiment-analysis-es to assess semantic relatedness across English Marathi Telugu and Spanish. (Hossain, Paran, Shohan, Hossain & Hoque, 2024)"@en, "Since BERT provides a deep bidirectional representation conditioned on text in both directions we expect this method to perform better than the twin neural network which uses GLOVE embeddings. (Daryani & Caverlee, 2021)"@en, "The canonical Siamese neural network is an architecture that consists of two towers with shared weights working in parallel on two different inputs. (Yuan, Merler, Choudhury, Pavuluri, Singh & Vukovic, 2023)"@en ;
  skos:definition "Réseau de neurones composé de deux sous-réseaux identiques partageant les mêmes poids et travaillant en parallèle sur des entrées distinctes. (Adapté de Crochepierre et al., Utilisation de réseau de neurones siamois en clustering : application aux événements du réseau électrique français, Actes des 26èmes Rencontres - Société Francophone de Classification, 2019)"@fr, "A pair of neural networks that share their weights and aims at computing similarity functions. (ScienceDirect)"@en ;
  dc:modified "2024-06-26T12:42:07"^^xsd:dateTime ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-FZXXSFHX-G> ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:prefLabel "siamese neural network"@en, "réseau de neurones siamois"@fr ;
  skos:hiddenLabel "Réseau de neurones siamois"@fr, "Siamese neural network"@en ;
  inist:definitionalContext "A siamese neural network consists of twin networks which accept distinct inputs but are joined by an energy function at the top. (Goyal, 2017)"@en ;
  skos:exactMatch <https://www.wikidata.org/wiki/Q192776> ;
  a skos:Concept .

<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-XBQBZ43R-L> .

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