Semi-Supervised Machine Learning: a Homological Approach

Adrián Inés,César Domínguez,Jónathan Heras,Gadea Mata,Julio Rubio

arxiv（2023）

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摘要

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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关键词

homological approach,learning,machine,semi-supervised

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