@inproceedings{fe6190f4130d4ed9833ad7e1c64107eb,
title = "Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability",
abstract = "Various ways of estimating probabilities, mainly within the Bayesian framework, are discussed. Their relevance and application to machine learning is given, and their relative performance empirically evaluated. A method of accounting for noisy data is given and also applied. The reliability of estimates is measured by a significance measure, which is also empirically tested. We briefly discuss the use of likelihood ratio as a significance measure.",
author = "James Cussens",
year = "1993",
month = apr,
doi = "10.1007/3-540-56602-3\_133",
language = "English",
volume = "667",
series = "Lecture Notes in Artificial Intelligence",
publisher = "Springer",
pages = "136--152",
booktitle = "Proceedings of the European Conference on Machine Learning (ECML-93)",
address = "United States",
}