Learning MSO-definable hypotheses on string

27 Aug 2017 Martin Grohe Christof Löding Martin Ritzert

We study the classification problems over string data for hypotheses specified by formulas of monadic second-order logic MSO. The goal is to design learning algorithms that run in time polynomial in the size of the training set, independently of or at least sublinear in the size of the whole data set... (read more)

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