Difference between revisions of "Functional data analysis for BCI and biomedical signals"
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My research focuses on the problems of model selection in Machine Learning. It explores methods of Applied Mathematics and Computer Science. The central issue is to select the most accurate, robust, and simplest model. This model forecasts spatial time series, and measurements in medicine, biology, and physics. The practical applications are brain-computer interfaces, health monitoring with wearable devices, human behavior analysis, and classification of human motions in sports and computer games. | My research focuses on the problems of model selection in Machine Learning. It explores methods of Applied Mathematics and Computer Science. The central issue is to select the most accurate, robust, and simplest model. This model forecasts spatial time series, and measurements in medicine, biology, and physics. The practical applications are brain-computer interfaces, health monitoring with wearable devices, human behavior analysis, and classification of human motions in sports and computer games. | ||
Revision as of 20:23, 11 October 2022
Vadim, 2023