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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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
Frontiers Media S.A.,
2021-11-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |