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Problem setup in machine learning, where at test time, a learner observes samples from classes that were not observed during training, and needs to predict the class they belong to

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  • проблема машинного обучения, заключающаяся в том, что при тестировании встречаются объекты таких типов, которые не встречались на этапе обучения (ru)
  • problem setup in machine learning, where at test time, a learner observes samples from classes that were not observed during training, and needs to predict the class they belong to (en)
  • és un problema de configuració de l'aprenentatge automàtic. (ca)
  • L'apprentissage sans échantillon est une méthode d'apprentissage automatique qui permet à un modèle de reconnaître des catégories non vues lors de son entraînement en utilisant des connaissances sémantiques ou des attributs associés. (fr)
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  • Zero-shot learning (en)
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