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Showing 1 to 1 of 1 for “"Fehlerschätzung"”.

  1. Active evaluation of predictive models

    The field of machine learning studies algorithms that infer predictive models from data. Predictive models are applicable for many practical tasks such as spam filtering, face and handwritten digit recognition, and personalized product recommendation. In general, they are used to predict a target …

    potsdam-diss Repository record for Active evaluation of predictive models (opens in a new tab)