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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...
Autores principales: | Fassmeyer, Dennis, Anzer, Gabriel, Bauer, Pascal, Brefeld, Ulf |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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