Consistency analysis of spectral regularization algorithms
Summary: We investigate the consistency of spectral regularization algorithms. We generalize the usual definition of regularization function to enrich the content of spectral regularization algorithms. Under a more general prior condition, using refined error decompositions and techniques of operator norm estimation, satisfactory error bounds and learning rates are proved.
scientific article; zbMATH DE number 6058113
scientific article