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Vocabulary of natural language processing (POC)

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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning approach > supervised learning > metric learning

Término preferido

metric learning  

Definición

  • A technique that constructs task-specific distance metrics by learning the similarity or dissimilarity between samples. It is often used for object retrieval and clustering by training a deep neural network to learn a mapping function from the original samples into a new, more compact, embedding space. (Seidenschwarz et al., Learning Intra-Batch Connections for Deep Metric Learning)

Concepto genérico

Etiquetas alternativas

  • distance metric learning

En otras lenguas

URI

http://data.loterre.fr/ark:/67375/8LP-KR0VQCZP-S

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