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Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery

In this article, we consider a version of the challenging problem of learning from datasets whose size is too limited to allow generalisation beyond the training set. To address the challenge, we propose to use a transfer learning approach whereby the model is first trained on a synthetic dataset re...

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Detalles Bibliográficos
Autores principales: Núñez Jareño, Santos J., van Helden, Daniël P., Mirkes, Evgeny M., Tyukin, Ivan Y., Allison, Penelope M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469565/
https://www.ncbi.nlm.nih.gov/pubmed/34573765
http://dx.doi.org/10.3390/e23091140