Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Abstract: An analytical derivation of the EMG signal’s amplitude probability density function (EMG PDF) is presented and used to study how an EMG signal builds-up, or fills, as the degree of muscle ...
Abstract: The dynamic event-triggered $\mathcal {L}_{\infty }$ load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To ...
ABSTRACT: The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, ...
Calculus I - Calculus I forms the foundation for understanding changes and motion in machine learning models. It introduces key concepts like limits, which help understand how functions behave as they ...
Mader, C. L., Los Alamos Sci. Lab. Rep. LA, 2900 (1963). Zeldovich, Ia. B., and Kompaneets, A. S., Theory of Detonation (Academic Press, London, New York, 1960).
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