Nyström landmark sampling and regularized Christoffel functions

29 May 2019Michaël FanuelJoachim SchreursJohan A. K. Suykens

Selecting diverse and important items from a large set is a problem of interest in machine learning. As a specific example, in order to deal with large training sets, kernel methods often rely on low rank matrix approximations based on the selection or sampling of Nystr\"om centers... (read more)

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