Towards a deeper geometric, analytic and algorithmic understanding of margins
Towards a deeper geometric, analytic and algorithmic understanding of margins
Given a matrix A, a linear feasibility problem (of which linear classification is a special case) aims to find a solution to a primal problem or a certificate for the dual problem which is a probability distribution . Inspired by the continued importance of ‘large-margin classifiers’ in machine learning, this …