Hidden Markov Models ( HMMs ) and Security Applications

@inproceedings{Alghamdi2016HiddenMM,
  title={Hidden Markov Models ( HMMs ) and Security Applications},
  author={Rubayyi Alghamdi},
  year={2016}
}
The Hidden Markov models (HMMs) are statistical models used in various communities and applications. Such applications include speech recognition, mental task classification, biological analysis, and anomaly detection. In hidden Markov models, there are two states: one is a hidden state and the other is an observation state. The purpose of this survey paper is to further the understanding of hidden Markov models, as well as the solutions to the three central problems: evaluation problem… CONTINUE READING

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Showing 1-10 of 10 references

Foundations of Mathematical Statistics” Markov Models for Pattern Recognition: From Theory to Applications.2nd

  • Fink, A Gernot
  • 2014
Highly Influential
3 Excerpts

Hidden Markov Models” Introduction to Machine Learning, 3ed ed

  • E. Alpaydin
  • 2010
1 Excerpt

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