Browsing Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering by Subject "A-priori probabilities"

Now showing items 1-6 of 6

    • 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  

      Initial state opacity in stochastic des 

      Keroglou, C.; Hadjicostis, Christoforos N. (2013)
      A non-deterministic finite automaton is initial-state opaque if the membership of its true initial state to a given set of secret states S remains opaque (i.e., uncertain) to an intruder who observes system activity through ...
    • Conference Object  

      Probabilistic marking estimation in labeled petri nets 

      Cabasino, M. P.; Hadjicostis, Christoforos N.; Seatzu, C. (Institute of Electrical and Electronics Engineers Inc., 2013)
      Given a labeled Petri net, possibly with silent transitions, we are interested in performing current marking estimation in a probabilistic setting. We assume a known initial marking or a known finite set of initial markings, ...
    • Article  

      Probabilistic marking estimation in labeled petri nets 

      Cabasino, M. P.; Hadjicostis, Christoforos N.; Seatzu, C. (2015)
      Given a labeled Petri net, possibly with silent (unobservable) transitions, we are interested in performing marking estimation in a probabilistic setting. We assume a known initial marking or a known finite set of initial ...