Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics

no code implementations • 2 Jul 2017 • Dianhui Wang, Caihao Cui

Based on the group of heterogeneous features, the block Jacobi and Gauss-Seidel methods are employed to iteratively evaluate the output weights, and a convergence analysis is given with a demonstration on the uniqueness of these iterative solutions.

Ensemble Learning