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Hidden Markov Model by George Fernandez is a document available to read on EtoBox.

What is Hidden Markov Model about?

A Hidden Markov Model is a statistical model where an underlying process with unknown ("hidden") parameters generates a sequence of observed events. HMMs can be used to model real-world processes that are not directly visible but emit observable symbols governed by a sequence of hidden states. They are widely used in speech recognition, handwriting recognition, and bioinformatics for analyzing protein or DNA sequences.

Author

George Fernandez

Language

EN