729 citations · 871 across the 7 of their papers we have counts for
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2 papers · 1 filter
cs.NE2017★ 729 cited
Stochastic Configuration Networks: Fundamentals and Algorithms
Dianhui Wang, Ming Li
This paper contributes to a development of randomized methods for neural networks. The proposed learner model is generated incrementally by stochastic configuration (SC) algorithms…
cs.NE2017★ 1 cited
Robust Stochastic Configuration Networks with Kernel Density Estimation
Dianhui Wang, Ming Li
Neural networks have been widely used as predictive models to fit data distribution, and they could be implemented through learning a collection of samples. In many applications, h…