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Leonardo Santoro

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Hidden geometry explains why kernel methods separate complex data so well

Hidden geometry explains why kernel methods separate complex data so well Lisa Lock Scientific Editor Robert Egan Associate Editor Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are often high-dimensional, complex, and differences between them can take countless subtle forms. "Simply put, we don't know what differences to look for, the...

Phys.org 1d ago