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Field
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will involve a combination of longitudinal, descriptive, and cross-sectional studies to better understand the bidirectional influence of training and match-demands of tier 3 football during
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challenging properties of uncertainty, irregularity and mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and
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mixed-modality. It will examine a range of models and techniques that go beyond Markovian approaches, including state-space models, tensor networks, and machine learning frameworks such as recurrent
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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motion and the viewing perspective of the observer (Nikolaidis et al, 2016). This project will develop continuous models of action legibility using these sources of information from data collected in a
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Europe | 4 days ago
Technologies – Match) is a Marie Sklodowska-Curie doctoral network funded by the European Commission under the Horizon Europe. MATCH is committed to train the next generation of European researchers/engineers in
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development