treeHFM

Version 1.2.0.0 (73.1 KB) by Henrik Failmezger
treeHFM generalises Hidden Markov Models to tree st
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Updated 26 Sep 2016

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The treeHFM (hidden Factor graph model) generalises Hidden Markov Models to tree structured data. The distinctive feature of treeHFM is that it learns a transition matrix for first order (sequential) and for second order (splitting) events. It can be applied to all discrete and continuous data that is structured as a binary tree. In the case of continuous observations, treeHFM has Gaussian distributions as emissions.

Cite As

Henrik Failmezger (2026). treeHFM (https://se.mathworks.com/matlabcentral/fileexchange/57575-treehfm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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treeHFM/

Version Published Release Notes
1.2.0.0

fixed some issues.
1.1.0.0

unnecessary files and folders deleted
1.0.0.0