Related items
Showing items related by title, author, creator and subject.
-
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
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), ...
-
Article
Approximation of Markov Processes by Lower Dimensional Processes via Total Variation Metrics
Tzortzis, I.; Charalambous, Charalambos D.; Charalambous, T.; Hadjicostis, Christoforos N.; Johansson, M. (2017)The aim of this paper is to approximate a Finite-State Markov (FSM) process by another process defined on a lower dimensional state space, called the approximating process, with respect to a total variation distance fidelity ...