Quantitative convergence analysis of kernel based large-margin unified machines
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DOI: 10.3934/cpaa.2020180
Abstract: High-dimensional binary classification has been intensively studied in the community of machine learning in the last few decades. Support vector machine (SVM), one of the most popular classifier, depends on only a portion of training… read more here.
Keywords: large margin; margin unified; quantitative convergence; analysis ... See more keywords