Anlu Yan

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We propose to use uid model based time-driven simulation to simulate high speed networks. For single class uid in feedforward networks, we prove that the error introduced by discretizing a uid model is within a deterministic bound proportional to the discretization interval length and is not related to the network size. We show that uid simulation ooers the(More)
In this paper, we propose a novel feature selection method which can suppress the input features during the process of model construction automatically. The main idea is to obtain better performance and sparse solutions by introducing Tikhonov regularization terms and measuring the objective function with $$L_1 $$ L 1 -norm, based on projection twin support(More)
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