Semi-Supervised Machine Learning: a Homological Approach

• URL: http://arxiv.org/abs/2301.11658v1
• Date: Fri, 27 Jan 2023 11:16:45 GMT
• Title: Semi-Supervised Machine Learning: a Homological Approach
• Authors: Adri\'an In\'es, C\'esar Dom\'inguez, J\'onathan Heras, Gadea Mata and Julio Rubio
• Abstract summary: We describe the mathematical foundations of a new approach to semi-supervised Machine Learning. Using Symbolic Computation and Computer Algebra, we apply the concept of persistent homology to obtain a new semi-supervised learning method.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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