dc.contributor.author | Athanasopoulou, E. | en |
dc.contributor.author | Hadjicostis, Christoforos N. | en |
dc.creator | Athanasopoulou, E. | en |
dc.creator | Hadjicostis, Christoforos N. | en |
dc.date.accessioned | 2019-04-08T07:44:46Z | |
dc.date.available | 2019-04-08T07:44:46Z | |
dc.date.issued | 2008 | |
dc.identifier.isbn | 978-1-4244-3124-3 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/42824 | |
dc.description.abstract | In this paper we consider a formulation of the failure diagnosis problem in stochastic systems as a maximum likelihood classification problem: a diagnoser observes the system under diagnosis online and determines which candidate model (e.g., a fault-free model or a faulty model) is more likely given the observations. We are interested in measuring a priori the diagnosis/ classification capability of the diagnoser by computing offline the probability that the diagnoser makes an incorrect decision (irrespective of the actual observation sequence) as a function of the observation step. We focus on hidden Markov models and compute an upper bound on this probability as a function of the length of the sequence observed. We also find necessary and sufficient conditions for this bound to decay to zero exponentially with the number of observations. © 2008 IEEE. | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source | Proceedings of the IEEE Conference on Decision and Control | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-62949102899&doi=10.1109%2fCDC.2008.4739423&partnerID=40&md5=2eb8b0428250e2fc271c13e072900286 | |
dc.subject | Maximum likelihood | en |
dc.subject | Online systems | en |
dc.subject | A-priori | en |
dc.subject | Candidate models | en |
dc.subject | Computational grammars | en |
dc.subject | Failure diagnosis | en |
dc.subject | Free models | en |
dc.subject | Hidden markov models | en |
dc.subject | Maximum likelihood classifications | en |
dc.subject | Object recognition | en |
dc.subject | Offline | en |
dc.subject | Probability of errors | en |
dc.subject | Stochastic models | en |
dc.subject | Sufficient conditions | en |
dc.subject | Upper bounds | en |
dc.title | Probability of error bounds for failure diagnosis and classification in hidden Markov models | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1109/CDC.2008.4739423 | |
dc.description.startingpage | 1477 | |
dc.description.endingpage | 1482 | |
dc.author.faculty | Πολυτεχνική Σχολή / Faculty of Engineering | |
dc.author.department | Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering | |
dc.type.uhtype | Conference Object | en |
dc.contributor.orcid | Hadjicostis, Christoforos N. [0000-0002-1706-708X] | |
dc.gnosis.orcid | 0000-0002-1706-708X | |