Igor Kononerko, Ivan Bratko, and Esidija Roskar. Experiments in automatic learning of medical diagnostic rules. Technical report, Jozef Stefan Institute, Ljubljana, Slovenia, 1984.

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Heterogeneous Uncertainty Sampling for Supervised Learning - Lewis, Catlett (1994)   (70 citations)  (Correct)

....incompletely trained, but because the expert may really classify such instances as category members 50 of the time. Indeed, we have seen some evidence of such instances being selected in the later iterations of an uncertainty sampling run. These murky instances are not the best ones for training [17, 20]. This suggests a goal of producing a classifier that estimates P (Cjw) accurately rather than simply classifying accurately. The variance of this estimate becomes important, and it may be more appropriate to treat the problem as one of regression or interpolation [21, 25] rather than ....

Igor Kononerko, Ivan Bratko, and Esidija Roskar. Experiments in automatic learning of medical diagnostic rules. Technical report, Jozef Stefan Institute, Ljubljana, Slovenia, 1984.

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