Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering

Abstract

This paper describes a learning algorithm for constructing Bayesian networks. A major feature of this approach is the use of conceptual clustering to construct hidden variables in the network. These ideas have been implemented in a system called Tantra.

Cite

Text

Connolly. "Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering." International Conference on Machine Learning, 1993. doi:10.1016/B978-1-55860-307-3.50015-0

Markdown

[Connolly. "Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering." International Conference on Machine Learning, 1993.](https://mlanthology.org/icml/1993/connolly1993icml-constructing/) doi:10.1016/B978-1-55860-307-3.50015-0

BibTeX

@inproceedings{connolly1993icml-constructing,
  title     = {{Constructing Hidden Variables in Bayesian Networks via Conceptual Clustering}},
  author    = {Connolly, Dennis},
  booktitle = {International Conference on Machine Learning},
  year      = {1993},
  pages     = {65-72},
  doi       = {10.1016/B978-1-55860-307-3.50015-0},
  url       = {https://mlanthology.org/icml/1993/connolly1993icml-constructing/}
}