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That is, active learning when the labels can be queried from two different sources. One, the Strong Oracle (noted O in the paper), is costly but reliable while the other, the Weak Oracle (noted W) is marginally cheap but also locally unreliable. The idea behind this is to minimize the use of O by relying on the labels from W as much as possible. The authors present a new algorithm to learn in this setting.