@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 = "Proc 6 Annu ACM Conf Comput Learn Theory",

publisher = "Publ by ACM",

pages = "101--110",

booktitle = "Proc 6 Annu ACM Conf Comput Learn Theory",

note = "Proceedings of the 6th Annual ACM Conference on Computational Learning Theory ; Conference date: 26-07-1993 Through 28-07-1993",

}