Optimality and convergence for convex ensemble learning with sparsity and diversity based on fixed point optimization
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DOI: 10.1016/j.neucom.2017.07.046
Abstract: Abstract This paper discusses the classifier ensemble problem with sparsity and diversity learning, which is a central issue in machine learning. The current approach for reducing the size and increasing the accuracy of a classifier… read more here.
Keywords: sparsity diversity; classifier ensemble; problem; fixed point ... See more keywords