A P-ADMM for sparse quadratic kernel-free least squares semi-supervised support vector machine
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DOI: 10.1016/j.neucom.2018.03.069
Abstract: Abstract In this paper, we propose a sparse quadratic kernel-free least squares semi-supervised support vector machine model by adding an L1 norm regularization term to the objective function and using the least squares method, which… read more here.
Keywords: quadratic kernel; free least; least squares; sparse quadratic ... See more keywords