You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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 .
General Information
- Version 1.2.0.0 (73.1 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
