Semi-Supervised Machine Learning: a Homological Approach

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Jan 27, 2023
Adrián Inés, César Domínguez, Jónathan Heras, Gadea Mata, Julio Rubio
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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 \'algebra computacional y aplicaciones (EACA 2022). arXiv admin note: text overlap with arXiv:2205.09617  
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