Regularization
A family of algorithmic techniques that constrain or bias learning to promote selected properties of the learned solution.
A family of algorithmic techniques that constrain or bias learning to promote selected properties of the learned solution.
The bias may be expressed through a penalty, constraint, altered data, or modification of the learning procedure.