Learning distributions by their density-levels - a paradigm for learning without a teacher
Can we learn from unlabeled examples? We consider here the un-supervised learning scenario in which the examples provided are not labeled (and are not necessarily all positive or all negative). The only information about their membership is indirectly disclosed to the student through the sampling distribution.