Theoretical insights on the pre-image resolution in machine learning

Paul Honeine

Abstract: Highlights•Solid foundations on the resolution of the pre-image problem in Machine Learning•Relationship between the fixed-point iteration technique and Newton’s method•Fixed-point iteration is a Majorize-Minimization algorithm•General theoretical results for the wide classes of radial and projective kernels