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Browsing by Subject "Probability of errors"

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    • Conference Object  

      Bound on the probability of HMM misclassification 

      Keroglou, C.; Hadjicostis, Christoforos N. (2011)
      In this paper we consider the problem of classifying a sequence of observations among two known hidden Markov models (HMMs). We use a classifier that minimizes the probability of error (i.e., the probability of misclassification), ...

    • Conference Object  

      Bounds on the probability of misclassification among hidden Markov models 

      Keroglou, C.; Hadjicostis, Christoforos N. (2011)
      Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...

    • Conference Object  

      Hidden markov model classification based on empirical frequencies of observed symbols 

      Keroglou, C.; Hadjicostis, Christoforos N. (IFAC Secretariat, 2014)
      Given a sequence of observations, classification among two known hidden Markov models (HMMs) can be accomplished with a classifier that minimizes the probability of error (i.e., the probability of misclassification) by ...

    • Conference Object  

      Hierarchical decomposition of optimal control and information strategies in control-coding capacity of stochastic systems 

      Charalambous, Charalambos D.; Kourtellaris, C. K.; Tzortzis, I. (Institute of Electrical and Electronics Engineers Inc., 2018)
      The Control-Coding Capacity (CC Capacity) is defined as the maximum amount of information in bits/second, which can be encoded into randomized control strategies, transmitted over the control system, and decoded at its ...

    • Conference Object  

      Probability of error bounds for failure diagnosis and classification in hidden Markov models 

      Athanasopoulou, E.; Hadjicostis, Christoforos N. (2008)
      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 ...

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