Definition
A regularization technique that intentionally softens the hard, discrete target labels in a classification task by mixing them with a small probability of incorrect labels, which improves generalization.
In short: A regularization technique that intentionally softens the hard, discrete target labels in a classification task by mixing them with a small probability of incorrect labels, which improves generaliz...