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Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning

There are a number of key data-centric questions that must be answered when developing classifiers for operator functional states. “Should a supervised or unsupervised learning approach be used? What degree of labeling and transformation must be performed on the data? What are the trade-offs between...

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Detalles Bibliográficos
Autores principales: McKendrick, Ryan, Feest, Bradley, Harwood, Amanda, Falcone, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749052/
https://www.ncbi.nlm.nih.gov/pubmed/31572146
http://dx.doi.org/10.3389/fnhum.2019.00295