Finding a Path Is Harder than Finding a Tree
Abstract
This note shows that the problem of learning an optimal chain graphical model from data is NP-hard for the Bayesian, maximum likelihood, and minimum description length approaches. This hardness result holds despite the fact that the problem is a restriction of the polynomially solvable problem of finding the optimal tree graphical model.
Cite
Text
Meek. "Finding a Path Is Harder than Finding a Tree." Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001.Markdown
[Meek. "Finding a Path Is Harder than Finding a Tree." Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001.](https://mlanthology.org/aistats/2001/meek2001aistats-finding/)BibTeX
@inproceedings{meek2001aistats-finding,
title = {{Finding a Path Is Harder than Finding a Tree}},
author = {Meek, Christopher},
booktitle = {Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics},
year = {2001},
pages = {192-195},
volume = {R3},
url = {https://mlanthology.org/aistats/2001/meek2001aistats-finding/}
}