Repeat Until Bored: A Pattern Selection Strategy
Abstract
An alternative to the typical technique of selecting training examples independently from a fixed distribution is fonnulated and analyzed, in which the current example is presented repeatedly until the error for that item is reduced to some criterion value, ~; then, another item is ran(cid:173) domly selected. The convergence time can be dramatically increased or decreased by this heuristic, depending on the task, and is very sensitive to the value of ~.
Cite
Text
Munro. "Repeat Until Bored: A Pattern Selection Strategy." Neural Information Processing Systems, 1991.Markdown
[Munro. "Repeat Until Bored: A Pattern Selection Strategy." Neural Information Processing Systems, 1991.](https://mlanthology.org/neurips/1991/munro1991neurips-repeat/)BibTeX
@inproceedings{munro1991neurips-repeat,
title = {{Repeat Until Bored: A Pattern Selection Strategy}},
author = {Munro, Paul W.},
booktitle = {Neural Information Processing Systems},
year = {1991},
pages = {1001-1008},
url = {https://mlanthology.org/neurips/1991/munro1991neurips-repeat/}
}