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Titlebook: Making it Formally Explicit; Probability, Causali Gábor Hofer-Szabó,Leszek Wroński Conference proceedings 2017 The Editor(s) (if applicable

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László E. Szabóompositions. It also helps players find out what skills and how they need to improve to achieve their career goals. In this paper, we seek the player characteristics that mostly affect a player’s evaluation. To this end, we first created three-year-long career path segments from the time series data
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Samuel C. Fletchermay contain labeled as well as unlabeled chunks. In our application case, this occurs when motor activity has been manually annotated (due to the recognition based on the video recording) and independently registered by the measuring system of high precision (touch sensors): human annotation misses
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Juliusz Doboszewskirivilege of collecting high precision data to build upon. We believe that this opportunity should be available for everyone especially for youth teams, to develop and recognize talent earlier. We therefore set the goal of creating a low-cost player tracking system that could be applied in a wide bas
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Márton Gömöri,Balázs Gyenis,Gábor Hofer-Szabórivilege of collecting high precision data to build upon. We believe that this opportunity should be available for everyone especially for youth teams, to develop and recognize talent earlier. We therefore set the goal of creating a low-cost player tracking system that could be applied in a wide bas
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