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    • Using a meta-model to compensate for training-evaluation mismatches 

      Lamprecht, Dylan; Barnard, Etienne (Southern African Conference for Artificial Intelligence Research, 2020)
      One of the fundamental assumptions of machine learning is that learnt models are applied to data that is identically distributed to the training data. This assumption is often not realistic: for example, data collected ...