Soft-margin classification is an approach to classification with SVMs which keeps the distance between the margins as large as possible while minimizing the number of examples that end up inside the margins.
Soft-margin classification is an approach to classification with SVMs which keeps the distance between the margins as large as possible while minimizing the number of examples that end up inside the margins.