Estimating Labels from Label Proportions

author: Novi Quadrianto
published: Aug. 4, 2008,   recorded: July 2008,   views: 241

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Description

Consider the following problem: given sets of unlabeled observations, each set with known label proportions, predict the labels of another set of observations, also with known label proportions. This problem appears in areas like e-commerce, spam filtering and improper content detection. We present consistent estimators which can reconstruct the correct labels with high probability in a uniform convergence sense. Experiments show that our method works well in practice.

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