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Found 2 papers, 1 papers with code
Majorization-Minimization for sparse SVMs
Several decades ago, Support Vector Machines (SVMs) were introduced for performing binary classification tasks, under a supervised framework.
On Optimal Regularization Parameters via Bilevel Learning
In this work, we provide a new condition that better characterizes positivity of optimal regularization parameters than the existing theory.
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