Toward Automatically Labeling Situations in Soccer

We study the automatic annotation of situations in soccer games. At first sight, this translates nicely into a standard supervised learning problem. However, in a fully supervised setting, predictive accuracies are supposed to correlate positively with the amount of labeled situations: more labeled...

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Detalles Bibliográficos
Autores principales: Fassmeyer, Dennis, Anzer, Gabriel, Bauer, Pascal, Brefeld, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Sports and Active Living
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595941/
https://www.ncbi.nlm.nih.gov/pubmed/34805978
http://dx.doi.org/10.3389/fspor.2021.725431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595941/
https://www.ncbi.nlm.nih.gov/pubmed/34805978
http://dx.doi.org/10.3389/fspor.2021.725431

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