Web projektu DAR

Research Centre
Data - Algorithms - Decision Making

Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Identification and Prediction of Multiple Short Records by Dynamic Bayesian Mixtures.

Typ:

Conference paper

Authors:

Ettler P., Kárný M.

Proceedings name:

ICINCO 2005 - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics

Publisher:

INSTICC

Serie:

Barcelona, Spain

Year:

2005

Pages:

66-70

ISBN:

972-8865-31-7

Contact:

Dr. Ing. Pavel Ettler (COMPUREG Plzeň, s. r. o.)

Keywords:

System identification, prediction, probabilistic mixtures, d

URL (www page):

www.icinco.org

attachment1:

Identification and Prediction of Multiple Short Records by Dynamic Bayesian Mixtures [file]

attachment2:

Prezentace příspěvku na ICINCO 2005 [file]

Anotation:

A short data record is not suitable for proper identification of system model which is necessary for reliable data prediction. The idea consists in utilization of multiple similar short data records for identification of a dynamic Bayesian mixture. The mixture is used for prediction according to one of three methods described. Simulated and real data examples illustrate the methods.