Computing Upper and Lower Bounds on Likelihoods in Intractable Networks
Abstract
We present deterministic techniques for computing upper and lower bounds on marginal probabilities in sigmoid and noisy-OR networks. These techniques become useful when the size of the network (or clique size) precludes exact computations. We illustrate the tightness of the bounds by numerical experiments.
Cite
Text
Jaakkola and Jordan. "Computing Upper and Lower Bounds on Likelihoods in Intractable Networks." Conference on Uncertainty in Artificial Intelligence, 1996.Markdown
[Jaakkola and Jordan. "Computing Upper and Lower Bounds on Likelihoods in Intractable Networks." Conference on Uncertainty in Artificial Intelligence, 1996.](https://mlanthology.org/uai/1996/jaakkola1996uai-computing/)BibTeX
@inproceedings{jaakkola1996uai-computing,
title = {{Computing Upper and Lower Bounds on Likelihoods in Intractable Networks}},
author = {Jaakkola, Tommi S. and Jordan, Michael I.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1996},
pages = {340-348},
url = {https://mlanthology.org/uai/1996/jaakkola1996uai-computing/}
}