aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
Abstract: Fuzzy recurrent stochastic configuration networks (F-RSCNs) have shown great potential in modeling nonlinear dynamic systems due to their high learning efficiency, less human intervention, ...
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