Quadrianto, N and Smola, AJ and Caetano, TS and Le, QV (2008) *Estimating labels from label proportions.* Proceedings of the 25th International Conference on Machine Learning. pp. 776-783.

## Abstract

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. Copyright 2008 by the author(s)/owner(s).

Item Type: | Article |
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Subjects: | UNSPECIFIED |

Divisions: | Div F > Computational and Biological Learning |

Depositing User: | Cron Job |

Date Deposited: | 18 May 2016 17:50 |

Last Modified: | 29 Jun 2016 02:27 |

DOI: |