Resumen de Semi-supervised machine learning: A homological approach

Adrián Inés Armas, César Domínguez, Jónathan Heras Vicente, Gadea Mata Martínez, Julio Rubio

• In this paper we describe the mathematical foundations of a new approach to semisupervised 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.