On Graphical Models for Dynamic Systems
Abstract
It is widely recognized that probabilistic graphical models provide a good framework for both knowledge representation and probabilistic inference (e.g., see [2],[14]). The dynamic behaviour of a system which changes over the time needs an implicit or explicit time representation. In this paper, an implicit time representation using dynamic graphical models is proposed. Our goal is to model the state of a system and its evolution over the time in a richer and more natural way than other approaches together with a more suitable treatment of the inference on variables of interest.
Cite
Text
Lekuona et al. "On Graphical Models for Dynamic Systems." Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995.Markdown
[Lekuona et al. "On Graphical Models for Dynamic Systems." Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, 1995.](https://mlanthology.org/aistats/1995/lekuona1995aistats-graphical/)BibTeX
@inproceedings{lekuona1995aistats-graphical,
title = {{On Graphical Models for Dynamic Systems}},
author = {Lekuona, Alberto and Lacruz, Beatriz and Lasala, Pilar},
booktitle = {Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics},
year = {1995},
pages = {317-323},
volume = {R0},
url = {https://mlanthology.org/aistats/1995/lekuona1995aistats-graphical/}
}