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In human-computer interaction, interactive machine learning refers to model building in rapid cycles where users give examples or corrections, see the model's output and refine it, rather than tuning features offline. This meaning comes from Fails (2003) in Proceedings of the 8th international conference on Intelligent user interfaces.[1]
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