assail
发表于 2025-3-27 00:27:16
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Obsequious
发表于 2025-3-27 04:16:48
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Precursor
发表于 2025-3-27 05:57:57
Machine Learning and Data Mining for Sports Analytics978-3-030-17274-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
污秽
发表于 2025-3-27 11:12:00
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620452.jpg
Catheter
发表于 2025-3-27 17:07:21
https://doi.org/10.1007/978-3-030-17274-9artificial intelligence; classification accuracy; classification algorithm; data mining; learning algori
vocation
发表于 2025-3-27 18:58:26
Predicting Pass Receiver in Football Using Distance Based FeaturesL/PKDD 2018. Our solution uses distance based features to predict the receiver of a pass. We show that our model is able to improve prediction results obtained on a similar dataset. One particularity of our approach is the use of failed passes to improve the predictions.
贞洁
发表于 2025-3-28 01:30:50
Interpreting Deep Sports Analytics: Valuing Actions and Players in the NHLansparent tree structure facilitates understanding the general action values by feature influence and partial dependence plots, and player’s exceptional characteristics by identifying player-specific relevant state regions.
Femish
发表于 2025-3-28 02:56:14
Evaluating NFL Plays: Expected Points Adjusted for Scheduledifferent point values to the offensive and defensive units of the same play, which is the rational thing to do especially in a league with an uneven schedule such as the NFL. The average absolute difference between the raw and adjusted points is 0.07 points/play (p-value < 0.001), while the median
conjunctivitis
发表于 2025-3-28 10:15:44
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使迷醉
发表于 2025-3-28 12:41:54
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