• Target concept learning from ambiguously labeled data 

    Jiao, Changzhe (University of Missouri--Columbia, 2017)
    The multiple instance learning problem addresses the case where training data comes with label ambiguity, i.e., the learner has access only to inaccurately labeled data. For example, in target detection from remotely sensed ...