Categorical and geometric methods in statistical, manifold, and machine learning
arXiv:2505.03862v1 Announce Type: new
Abstract: We present and discuss applications of the category of probabilistic morphisms, initially developed in cite{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 cite{LMPT2024}.
Abstract: We present and discuss applications of the category of probabilistic morphisms, initially developed in cite{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 cite{LMPT2024}.
H^ong V^an L^e, H`a Quang Minh, Frederic Protin, Wilderich Tuschmann
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