In our formulation, a soft-constrained model imposes a penalty for each unsatisfied constraint, proportional to the amount by which it is violated.
our derivation parallels how soft-margin SVMs are derived from hard-margin SVMs by introducing auxiliary slack variables (Cortes and Vapnik, 1995).