Efficient Divide-and-Conquer Classification Based on Parallel Feature-Space Decomposition for Distributed Systems

This paper presents a divide-and-conquer (DC) approach based on feature-space decomposition for classification. When large-scale data sets are present, typical approaches usually employed truncated kernel methods on the feature space or DC approaches on the sample space. However, this did not guaran...

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