A Petri net representation of Bayesian message flows: importance of Bayesian networks for biological applications
DOI10.1007/s11047-009-9142-zzbMath1217.92047OpenAlexW2050605258MaRDI QIDQ553907
Alexander Pinl, Kurt Lautenbach
Publication date: 28 July 2011
Published in: Natural Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11047-009-9142-z
Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05) Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.) (68Q85) Systems biology, networks (92C42)
Related Items (3)
Cites Work
This page was built for publication: A Petri net representation of Bayesian message flows: importance of Bayesian networks for biological applications