@inproceedings{20de3dc40cfc4c34bd39d5dc5c83b51d,
title = "Learning from a population of hypotheses",
abstract = "A population learning model is introduced. In this model a population learner is provided with an oracle that on each call produces a function that is consistent with an independent random sample of the unknown target function. Thus, each call to the hypothesis oracle causes a new sample of m random examples to be drawn, and for a function consistent with these m examples to be returned to the population learner.",
author = "Michael Kearns and Seung, \{H. Sebastian\}",
year = "1993",
doi = "10.1145/168304.168317",
language = "English (US)",
isbn = "0897916115",
series = "Proceedings of the 6th annual conference on Computational learning theory, COLT 1993",
publisher = "Publ by ACM",
pages = "101--110",
booktitle = "Proceedings of the 6th annual conference on Computational learning theory, COLT 1993",
note = "Proceedings of the 6th Annual ACM Conference on Computational Learning Theory ; Conference date: 26-07-1993 Through 28-07-1993",
}