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Found 2 papers, 2 papers with code
Causal discovery for observational sciences using supervised machine learning
We use random subsampling to investigate real data performance on small samples and again find that SLdisco is less sensitive towards sample size and hence seems to better utilize the information available in small datasets.
Having a Ball: evaluating scoring streaks and game excitement using in-match trend estimation
Many popular sports involve matches between two teams or players where each team have the possibility of scoring points throughout the match.
Applications Methodology
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