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Pay attention and you won’t lose it: a deep learning approach to sequence imputation

In most areas of machine learning, it is assumed that data quality is fairly consistent between training and inference. Unfortunately, in real systems, data are plagued by noise, loss, and various other quality reducing factors. While a number of deep learning algorithms solve end-stage problems of...

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Detalles Bibliográficos
Autores principales: Sucholutsky, Ilia, Narayan, Apurva, Schonlau, Matthias, Fischmeister, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924680/
https://www.ncbi.nlm.nih.gov/pubmed/33816863
http://dx.doi.org/10.7717/peerj-cs.210