Week 9

Program: Exercise PM02

• Q/A
• Hidden Markov Models I.: belief updates, filtering by forward algorithm
• Assignment description, codes

Homework: In case you will not finish the exercise during the lab, your homework is to

• finish the exercise at home,
• identify the potential issues, and
• ask questions on the forum.
• Hand in the Python module hmm_inference.py via BRUTE, together with the solution to the next exercise, PM03. This task has an automatic evaluation, you should see if your functions in hmm_inference.py work fine almost immediately.
• If you need to submit more than one Python file, you can submit an archive with all the modules. The files must be placed in the root of the archive - the archive should not contain any directories.