Markov model

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Markov model

(probability, simulation)
A model or simulation based on Markov chains.
References in periodicals archive ?
The Markov models have been used in health service decision making, including clinical and epidemiological application.
Bagci et al developed eye tracking method using Markov Models.
A revealing introduction to hidden Markov models [online] [cited 06 January 2012].
This edition has new chapters on mathematical models of life expectancy, expected value decision making, Markov models and time-varying outcomes, and utility assessment.
During the time, we have designed and used different high complexity prediction methods based on Markov chains, Hidden Markov Models (HMM), Neural Networks, and also some simple methods which are very efficient for hardware implementation like the Last Value Predictor and the Two Level Predictors.
Markov models in medical decision making: a practical guide.
Recently, the ARBIMON team made a major breakthrough in automating species identification using Hidden Markov Models (http://en.
After background chapters on important algorithms, general-purpose graphic processors, and massively threaded programming and reconfigurable computing with field-programmable gate arrays, researchers in the field present recent approaches to parallelize bioinformatics applications on a variety of parallel architectures, including pairwise and multiple sequence alignment, the basic local alignment search tool, motif finding, pattern matching, sequence assembly, hidden Markov models, proteomics, and evolutionary tree reconstruction.
In Step 4, we developed eight Markov models specifying four types of limb loss (unilateral lower, unilateral upper, bilateral upper, and other multiple limb loss) for the two conflicts (Vietnam and OIF/OEF) to model the data.
Markov models have also been used in the clickstream analysis area.
On the other hand, by defining a past-due period as a different transient state, and default as an absorbing state, Markov models are used to analyze the characteristics of a loan portfolio, namely the estimated duration before an individual default, prediction of economic portfolio balance, and health index.
Our system depends on simulating the biological immune system features and also uses a finite state machine called Hidden Markov models that enables us to detect viruses according to their behaviour.