Bibliography
Journal Article
Probabilistic advisory systems for data-intensive applications
, , , ,
: International Journal of Adaptive Control and Signal Processing vol.17, 2 (2003), p. 133-148
: CEZ:AV0Z1075907
: IBS1075102, GA AV ČR
: mixture od dynamic models, Bayesian inference, control design
(eng): The paper deals with mixture modelling as a tool for estimation and control of real-world, multidimensional, dynamic, non-linear processes. The experience gained under the EU project ProDaCTool, in designing and implementing advisory systems in urban traffic regulation, therapy recommendations in nuclear medicine and operator support for metal-strip rolling mill are presented.
: BC