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In this work, we investigate the application of Bayesian dynamic linear models (BDLMs) to the online classification of time-series data of human activity acquired from IMUs. BDLMs are promising in HAR ...
Background Until recently, determining penetrance required large observational cohort studies. Data from the Exome Aggregate Consortium (ExAC) allows a Bayesian approach to calculate penetrance, in ...
Department of Industrial Chemistry, Faculty of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan ...
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