Before revision: Regularization by Spectral Filtering Introduction In the field of machine learning, regularization by spectral filtering refers to a large class of regularization techniques aimed at controlling the impact of noise and preventing overfitting.
After revision: Spectral regularization Introduction Spectral regularization refers to a large class of regularization techniques used in machine learning to control the impact of noise and prevent overfitting.