Zobrazeno 1 - 10
of 384
pro vyhledávání: '"R, Kulhavy"'
Autor:
R. Kulhavy
Publikováno v:
IEEE Control Systems. 23:40-49
The article discusses the development of a data-centric decision support system (DSS) for process industry applications. DSS is defined as a computer-aided decision environment, positioned at higher levels of the control hierarchy, where the complexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b9fd9954115f76477596f86538aa13c
https://doi.org/10.1109/mcs.2003.1251180
https://doi.org/10.1109/mcs.2003.1251180
Autor:
R. Kulhavy
Publikováno v:
Proceedings of 1994 33rd IEEE Conference on Decision and Control.
The paper suggests an approximation of Bayesian parameter estimation for the case that data are incomplete. Attractive properties of the approximation follow from the large deviation theorem and the elementary properties of the informational divergen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9650e32b2e375dde1c70f69acad8b3e4
https://doi.org/10.1109/cdc.1994.410861
https://doi.org/10.1109/cdc.1994.410861
Autor:
R. Kulhavy
Publikováno v:
Proceedings of 1995 34th IEEE Conference on Decision and Control.
The role of Kerridge inaccuracy, Shannon entropy and Kullback-Leibler distance in statistical estimation is shown for both discrete and continuous observations. The cases of data independence and regression-type dependence are considered in parallel.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d1f21b412bf7440a3bad8528544e13
https://doi.org/10.1109/cdc.1995.480237
https://doi.org/10.1109/cdc.1995.480237
Autor:
R. Kulhavy
Publikováno v:
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
The paper deals with both methodological and practical aspects of design, implementation and application of data-centric decision support systems powered by the historical process and business data. The paper is written from the product development a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13ed88b7f93fa03fd4d89632785d1df4
https://doi.org/10.1109/acc.2002.1025318
https://doi.org/10.1109/acc.2002.1025318
Autor:
P. I. Ivanova, R. Kulhavy
Publikováno v:
ECC
Fault detection and diagnosis are functions with enormous importance to advanced intelligent supervisory control systems. In the quest for improved quality and safer operations, we adopt a different approach to fault diagnosis based on the memory-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6ce7a35d697c8ed44acfaa70f41d599
https://doi.org/10.23919/ecc.1999.7100028
https://doi.org/10.23919/ecc.1999.7100028
Publikováno v:
Advances in experimental medicine and biology. 376
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fd8a393e382c2c844742b700a4fb8edd
https://pubmed.ncbi.nlm.nih.gov/8597251
https://pubmed.ncbi.nlm.nih.gov/8597251
Publikováno v:
Advances in Experimental Medicine and Biology ISBN: 9781461357681
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b38e6465da3df70ed02f94b0c67ac0b
https://doi.org/10.1007/978-1-4615-1885-3_23
https://doi.org/10.1007/978-1-4615-1885-3_23
The paper describes a recent progress in searching for credible, well-grounded approximation of recursive Bayesian parameter estimation which would make the Bayesian paradigm feasible for a class of nonstandard (non-linear and/or non-Gaussian) models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2e917bb26d0ebfdcd66a58e8b5e965
https://doi.org/10.1016/b978-0-08-041717-2.50012-4
https://doi.org/10.1016/b978-0-08-041717-2.50012-4
Autor:
J, Mestecky, Z, Moldoveanu, S J, Prince, W H, Kutteh, R, Kulhavy, J R, McGhee, I, Moro, S S, Crago
Publikováno v:
Advances in experimental medicine and biology. 310
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fc8f770fbc6d488aa4738fd7b69a21f9
https://pubmed.ncbi.nlm.nih.gov/1667060
https://pubmed.ncbi.nlm.nih.gov/1667060
Publikováno v:
Ecological Engineering & Environmental Technology (EEET); 2024, Vol. 25 Issue 8, p297-307, 11p