Noun1.Markoff chain- a Markov process for which the parameter is discrete time values Markov chain Markoff process,Markov process- a simple stochastic process in which the distribution of future states depends only on the present state and not on how it arrived in the present state ...
: of, relating to, or resembling a Markov process or Markov chain especially by having probabilities defined in terms of transition from the possible existing states to other states Word History First Known Use 1944, in the meaning defined above Time Traveler The first known use of Markovian ...
Next, we define the embedded discrete-time Markov chain and the generator matrix of a CTMC and investigate the possible ways of characterizing a CTMC. We complete the definitions by defining the transition rate diagram of a CTMC. Finally, we conclude the article by providing examples of CTMCs....
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We represent states of our metapopulation model as states of a Markov chain, allowing us to calculate the probability of a pandemic directly, as opposed to simulating many stochastic outbreaks and recording the proportion which result in pandemics. We explore two different kinds of pandemic ...
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(2019) Availability node availability analysis NBIOT-HWSN NB-IoT by presenting a node heterogeneity model based on node distribution and vulnerability differences then using epidemic theory and Markov chain to establish node state transition mode BoL Deployment Mustafa et al. (2019) Availability ...
If such code is present, the metric is assigned to that code (e.g., “percentage of the activities of the application under test that have been visited” [32] and “percentage of reached activities” [33]); • A code with a definition that can be mathematically derived from the one ...
LW Traub,J Lawrence - 《Journal of Aircraft》 被引量: 10发表: 2009年 Forecast of civil aviation freight volume using unbiased grey-fuzzy-Markov chain method This paper presented an unbiased grey-Markov chain method to forecast civil aviation freight volume. It combines the unbiased grey system ...
2.1. Hidden Markov Model A Hidden Markov Model (HMM), as Rabiner describes in [7], is a Markov chain, where each state generates an observa- tion. An HMM is specified by afive-tuple(S,K,Il,A,B ) , where S is the set of states, /^ the output alphabet ?indIl,A,B are the ...