Implementation of Factorial Hidden Markov Model (FHMM) for discrete-valued observation case (eg. words). Features:
- New variational algorithm for learning the parameters of FHMM for discreted-valued observation cases
- Faster training by multi-threading
- Faster training by online learning (training in mini-batches)
Simply run: ./run.sh in the base directory
Modify config.Config file to use your own data