Real Time Estimation of Bayesian Networks
Abstract
For real time evaluation of a Bayesian network when there is not sufficient time to obtain an exact solution, a guaranteed response time, approximate solution is required. It is shown that non traditional methods utilizing estimators based on an archive of trial solutions and genetic search can provide an approximate solution that is considerably superior to the traditional Monte Carlo simulation methods.
Cite
Text
Welch. "Real Time Estimation of Bayesian Networks." Conference on Uncertainty in Artificial Intelligence, 1996.Markdown
[Welch. "Real Time Estimation of Bayesian Networks." Conference on Uncertainty in Artificial Intelligence, 1996.](https://mlanthology.org/uai/1996/welch1996uai-real/)BibTeX
@inproceedings{welch1996uai-real,
title = {{Real Time Estimation of Bayesian Networks}},
author = {Welch, Robert L.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1996},
pages = {533-544},
url = {https://mlanthology.org/uai/1996/welch1996uai-real/}
}