@inproceedings{046e3e955cf24e78ba3fca7afa0de66a,
title = "Accuracy estimation for supervised learning algorithms",
abstract = "This paper illustrates and discusses the relative merits of three methods - k-fold Cross Validation, Error Bounds, and Incremental Halting Test - to estimate the accuracy of a supervised learning algorithm. For each of the three methods we point out the problem they address, some of the important assumptions that they are based on, and illustrate them through an example. Finally, we discuss the relative advantages and disadvantages of each method.",
author = "Glover, {Charles W.} and Oblow, {Ed M.} and Rao, {Nageswara S.}",
year = "1997",
language = "English",
isbn = "0819424927",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Society of Photo-Optical Instrumentation Engineers",
pages = "794--802",
editor = "Rogers, {Steven K.}",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Applications and Science of Artificial Neural Networks III ; Conference date: 21-04-1997 Through 24-04-1997",
}