What Can We Expect from Active Class Selection?
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The promise of active class selection is that the proportions of classes can be optimized in newly acquired data. In this short paper, we take a step towards the identification of properties that data sets must meet in order to make active class selection (potentially) successful. Also, we compare the conceivable benefit of active class selection to that of active learning and we identify open research issues. It becomes apparent that active class selection is a tough task, in which informed strategies often exhibit only minor improvements over random sampling.
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