Baum-Welch is a special case of Expectacion-Maximization Algorithm, that uses the forward-backward algorithm for calculating and updating the transition and emission matrices of a Hidden Markov Model for a given sequence where we only have access to the observable states and not to the hidden states.
Package details |
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Author | Rodrigo Arriaza |
Maintainer | Rodrigo Arriaza <arr15334@uvg.edu.gt> |
License | MIT |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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