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Hidden Markov Model Toolbox (HMM)

version 1.0.0.0 (7 KB) by Mo Chen
Hidden Markov Model Toolbox

5.3K Downloads

Updated 12 Sep 2016

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This package contains functions that model time series data with HMM. It Includes Viterbi, HMM filter, HMM smoother, EM algorithm for learning the parameters of HMM, etc.
The code is fully optimized yet is succinct so that user can easily learn the algorithms.
This pakcage is now a part of the PRML toolbox (http://www.mathworks.com/matlabcentral/fileexchange/55826-pattern-recognition-and-machine-learning-toolbox).

Cite As

Mo Chen (2021). Hidden Markov Model Toolbox (HMM) (https://www.mathworks.com/matlabcentral/fileexchange/55866-hidden-markov-model-toolbox-hmm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Pattern Recognition and Machine Learning Toolbox

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