Markov model

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Markov model

(probability, simulation)
A model or simulation based on Markov chains.
References in periodicals archive ?
Markov models have been used to understand a wide range of phenomena from weather forecasting, speech recognition and internet search.
Although only a single shared channel is considered in these Markov models, this motivates us to develop an analytical model based on Markov chain.
2013) compared different techniques of action recognition using Hidden Markov Models (HMM).
At that early stage, neural network based speech recognition was radically different from Hidden Markov Models (HMMs) based speech recognition.
Hidden Markov models (HMMs) are widely used to model the maneuvering process of an agent.
Stochastic process modeling methods such Markov Models and Petri nets are needed if one wants to model the time and sequence dependence on failures and repairs well in addition to the structure.
The Markov models have been used in health service decision making, including clinical and epidemiological application.
Later progress in error modeling introduced new mathematical concepts and model classes, often referred to as pure models: semi-Markov models, Hidden Markov Models (HMMs), empirical approaches including algorithmic models, chaos models, Deterministic Process Based Generative Models (DPBGM) and Stochastic Context-Free Grammar models (SCFG).
A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition.
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.
Yang, "Automatic creation of Markov models for reliability assessment of safety instrumented systems", Reliability Engineering & System Safety, vol.