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This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
The stochastic optimal control is an important research subject in structural engineering. Recently, a stochastic optimal nonlinear control method has been proposed based on the stochastic dynamical ...
This work is concerned with identification of systems that are subject to notonly measurement noises, but also structural uncertainties such as unmodeleddynamics, sensor nonlinear mismatch, and observ...
Over the past two decades, structural decomposition analysis(SDA) has developed into a major analytical tool in the field ofinput-output (IO) techniques, but the method was found to sufferfrom one or ...

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