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hidden Markov model
(redirected from Hidden Markov Models)

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hidden Markov model [¦hid·ən ′mär·kəf ‚mäd·əl]
(mathematics)
A finite-state machine that is also a doubly stochastic process involving at least two levels of uncertainty: a random process associated with each state, and a Markov chain, which characterizes the probabilistic relationship among the states in terms of how likely one state is to follow another.
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9781584885733 Hidden Markov models for time series; an introduction using R.
Hidden Markov models for time series; an introduction using R by SciTech Book News
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.
An immunological approach to computer viruses detection by Samy, Moataz; Badr, Amr; Gamal, Salwa El / Computing and Information Systems
Some of the most widely used ones are Dynamic time Warping (DTW), Hidden Markov Models (HMM), Time Delay Neural Network (TDNN), and Finite State Machine (FSM) network.
Study of robust and intelligent surveillance in visible and ... by Kumar, Praveen; Mittal, Ankush; Kumar, Padam / Informatica
 
 
 
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