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Titlebook: Machine Learning and Data Mining for Sports Analytics; 7th International Wo Ulf Brefeld,Jesse Davis,Albrecht Zimmermann Conference proceedi

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樓主: ONSET
11#
發(fā)表于 2025-3-23 10:05:27 | 只看該作者
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發(fā)表于 2025-3-23 15:39:42 | 只看該作者
How Data Availability Affects the Ability to Learn Good xG Modelse and varying between leagues, we did not find that using only recent data or league-specific models improves the accuracy significantly. Hence, if limited data is available, training models on less recent data or different leagues is a viable solution. Mixing data from multiple data sources should be avoided.
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發(fā)表于 2025-3-23 20:23:29 | 只看該作者
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發(fā)表于 2025-3-24 00:26:49 | 只看該作者
A Machine Learning Approach for Road Cycling Race Performance Predictionta as a good predictor. In particular, we focus on the Tour of Flanders as our proof-of-concept. We show, among others, that it is possible to predict the outcomes of a one-day race with similar or better accuracy than a human.
15#
發(fā)表于 2025-3-24 05:29:45 | 只看該作者
1865-0929 rts analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation..978-3-030-64911-1978-3-030-64912-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-24 10:34:31 | 只看該作者
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發(fā)表于 2025-3-24 13:59:08 | 只看該作者
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發(fā)表于 2025-3-24 18:50:38 | 只看該作者
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發(fā)表于 2025-3-24 19:26:03 | 只看該作者
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發(fā)表于 2025-3-25 01:34:26 | 只看該作者
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