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Regularisation for PCA- and SVD-type matrix factorisations
Singular Value Decomposition (SVD) and its close relative, Principal Component Analysis (PCA), are well-known linear matrix decomposition techniques that are widely used in applications such as dimension reduction and clustering.
Using MathML to Represent Units of Measurement for Improved Ontology Alignment
Ontologies provide a formal description of concepts and their relationships in a knowledge domain.
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