Categorical and geometric methods in statistical, manifold, and machine learning
Abstract
We present and discuss applications of the category of probabilistic morphisms, initially developed in Le2023, as well as some geometric methods to several classes of problems in statistical, machine and manifold learning which shall be, along with many other topics, considered in depth in the forthcoming book LMPT2024.
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