This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induced time series classifiers, trying to combine the advantages of both methods. Co...
We consider the problem of finding a commonly agreed upon diagnosis for errors observed in a system monitored by a number of different expert agents. Each agent is assumed to hav...