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- W2964347241 abstract "In the domain of RoboCup 2D soccer simulation league, appropriate player positioning against a given opponent team is an important factor of soccer team performance. This work proposes a model which decides the strategy that should be applied regarding a particular opponent team. This task can be realized by applying preliminary a learning phase where the model determines the most effective strategies against clusters of opponent teams. The model determines the best strategies by using sequential Bayes’ estimators. As a first trial of the system, the proposed model is used to determine the association of player formations against opponent teams in the particular situation of corner-kick. The implemented model shows satisfying abilities to compare player formations that are similar to each other in terms of performance and determines the right ranking even by running a decent number of simulation games." @default.
- W2964347241 created "2019-07-30" @default.
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- W2964347241 date "2017-01-01" @default.
- W2964347241 modified "2023-09-27" @default.
- W2964347241 title "Selecting the Best Player Formation for Corner-Kick Situations Based on Bayes’ Estimation" @default.
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- W2964347241 doi "https://doi.org/10.1007/978-3-319-68792-6_36" @default.
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