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Covariance Kernels on Unordered Pair Spaces: Theory and Applications to Network-Valued Data
Many scientific problems are relational: the quantity of interest is a connection between two objects, while information about similarity is available for the objects themselves. We develop a covariance framework for unordered relationships that transfers object-level geometry to the relations they
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