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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 apriori the diagnosis/classification capability of...
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