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Titlebook: Machine Learning and Data Mining for Sports Analytics; 10th International W Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi

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樓主: proptosis
31#
發(fā)表于 2025-3-26 23:52:06 | 只看該作者
Sports Data Analytics: An Art and?a?Scienceessful in explaining success in complex sports such as invasion sports. We propose a framework to deal with this complexity and providing meaningful metrices for individual and team performances. We demonstrate its utility by providing an example for individual and an example for team performance.
32#
發(fā)表于 2025-3-27 05:10:03 | 只看該作者
33#
發(fā)表于 2025-3-27 05:52:32 | 只看該作者
What Data Should Be Collected for a Good Handball , model?of learning it. The use of xG is not widespread in handball, so the question of learning it for this sport arose, in particular which attributes are relevant for learning. Here, we used a . approach to determine these relevant attributes and guide teams through the data collection stage.
34#
發(fā)表于 2025-3-27 09:47:37 | 只看該作者
https://doi.org/10.1007/978-3-031-53833-9artificial intelligence; computer vision; data mining; sports analytics; supervised learning; machine lea
35#
發(fā)表于 2025-3-27 15:31:43 | 只看該作者
36#
發(fā)表于 2025-3-27 19:17:13 | 只看該作者
37#
發(fā)表于 2025-3-27 23:23:19 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/620449.jpg
38#
發(fā)表于 2025-3-28 03:46:26 | 只看該作者
39#
發(fā)表于 2025-3-28 06:16:38 | 只看該作者
40#
發(fā)表于 2025-3-28 12:52:22 | 只看該作者
Machine Learning and Data Mining for Sports Analytics10th International W
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