Hidden Markov Models and Analysis of PyrococcusHorikoshii Genome
نویسنده
چکیده
Hidden Markov models are widely used in the areas of speech recognition and bioinformatics. Hidden Markov models differ from simple Markov models by including hidden states in addition to observable states. For example in bioinformatics, it is not easy to figure out what lies beneath the sequences by using simple Markov models. Once the Hidden Markov Model structure is determined, there are three problems to be solved for the model to be useful in real applications. Beyond everything else, deciding the structure of the model is a challenging task itself. As we will see from our experiments, choosing bad models ends with useless results. Three key problems of an HMM are
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