Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network

7 Aug 2017Zhengchu GuoLei ShiQiang Wu

Distributed learning is an effective way to analyze big data. In distributed regression, a typical approach is to divide the big data into multiple blocks, apply a base regression algorithm on each of them, and then simply average the output functions learnt from these blocks... (read more)

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