Learning to Predict Non-Deterministically Generated Strings
Abstract
In this article we present an algorithm that learns to predict non-deterministically generated strings. The problem of learning to predict non-deterministically generated strings was raised by Dietterich and Michalski (1986). While their objective was to give heuristic techniques that could be used to rapidly and effectively learn to predict a somewhat limited class of strings, our objective is to give an algorithm which, though impractical, is capable of learning to predict a very general class. Our algorithm is meant to provide a general framework within which heuristic techniques can be effectively employed.
Cite
Text
Koppel. "Learning to Predict Non-Deterministically Generated Strings." Machine Learning, 1991. doi:10.1007/BF00058927Markdown
[Koppel. "Learning to Predict Non-Deterministically Generated Strings." Machine Learning, 1991.](https://mlanthology.org/mlj/1991/koppel1991mlj-learning/) doi:10.1007/BF00058927BibTeX
@article{koppel1991mlj-learning,
title = {{Learning to Predict Non-Deterministically Generated Strings}},
author = {Koppel, Moshe},
journal = {Machine Learning},
year = {1991},
pages = {85-99},
doi = {10.1007/BF00058927},
volume = {7},
url = {https://mlanthology.org/mlj/1991/koppel1991mlj-learning/}
}