IMPACT OF FEAR BEHAVIOR ON PREY POPULATION GROWTH PREY-PREDATOR INTERACTION


Optimization on multifractal loss landscapes explains a diverse range of geometrical and dynamical properties of deep learning

Abstract Gradient descent and its variants are foundational in solving optimization problems across many disciplines.In deep learning, these optimizers demonstrate a remarkable ability to dynamically navigate complex loss landscapes, ultimately converging to solutions that generalize well.To elucidate the mechanism underlying this ability, we Door

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Estimating injury severity for motorized and non-motorized vehicle-involved crashes: Insights from random-parameter ordered probit model with heterogeneity in means and variances

The use of advanced models to investigate the determinants of injury severity outcomes for motorized and non-motorized-involved crashes are sparse.Therefore, random-parameter ordered probit models with heterogeneity in means and variances were developed to estimate factors affecting injury severity for motorized and non-motorized-involved crashes.D

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