@inproceedings{bfe4fbf89405465c86b50e9eea9002a1,
title = "A method for inferring label sampling mechanisms in semi-supervised learning",
abstract = "We consider the situation in semi-supervised learning, where the {"}label sampling{"} mechanism stochastically depends on the true response (as well as potentially on the features). We suggest a method of moments for estimating this stochastic dependence using the unlabeled data. This is potentially useful for two distinct purposes: A. As an input to a supervised learning procedure which can be used to {"}de-bias{"} its results using labeled data only and b. As a potentially interesting learning task in itself. We present several examples to illustrate the practical usefulness of our method.",
author = "Saharon Rosset and Ji Zhu and Hui Zou and Trevor Hastie",
year = "2005",
language = "אנגלית",
isbn = "0262195348",
series = "Advances in Neural Information Processing Systems",
publisher = "Neural information processing systems foundation",
booktitle = "Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004",
address = "ארצות הברית",
note = "18th Annual Conference on Neural Information Processing Systems, NIPS 2004 ; Conference date: 13-12-2004 Through 16-12-2004",
}