Inference with Causal Independence in the CPSC Network
Abstract
This paper reports experiments with the causal independence inference algorithm proposed by Zhang and Poole (1994b) on the CPSC network created by Pradhan et al (1994). It is found that the algorithm is able to answer 420 of the 422 possible zero-observation queries, 94 of 100 randomly generated five-observation queries, 87 of 100 randomly generated ten-observation queries, and 69 of 100 randomly generated twenty-observation queries.
Cite
Text
Zhang. "Inference with Causal Independence in the CPSC Network." Conference on Uncertainty in Artificial Intelligence, 1995.Markdown
[Zhang. "Inference with Causal Independence in the CPSC Network." Conference on Uncertainty in Artificial Intelligence, 1995.](https://mlanthology.org/uai/1995/zhang1995uai-inference/)BibTeX
@inproceedings{zhang1995uai-inference,
title = {{Inference with Causal Independence in the CPSC Network}},
author = {Zhang, Nevin Lianwen},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1995},
pages = {582-589},
url = {https://mlanthology.org/uai/1995/zhang1995uai-inference/}
}