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High-Dimensional Separability for One- and Few-Shot Learning

This work is driven by a practical question: corrections of Artificial Intelligence (AI) errors. These corrections should be quick and non-iterative. To solve this problem without modification of a legacy AI system, we propose special ‘external’ devices, correctors. Elementary correctors consist of...

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Detalles Bibliográficos
Autores principales:	Gorban, Alexander N., Grechuk, Bogdan, Mirkes, Evgeny M., Stasenko, Sergey V., Tyukin, Ivan Y.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392747/ https://www.ncbi.nlm.nih.gov/pubmed/34441230 http://dx.doi.org/10.3390/e23081090

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