Semi-Supervised Machine Learning: a Homological Approach

Abstract

In this paper we describe the mathematical foundations of a new approach to semi-supervised Machine Learning. Using techniques of Symbolic Computation and Computer Algebra, we apply the concept of persistent homology to obtain a new semi-supervised learning method.

In Proceedings of XVII Encuentro álgebra computacional y aplicaciones (EACA 2022). arXiv admin note: text overlap with arXiv:2205.09617