Metaheuristic methods for probabillistic graphical models
The output of the work will have a direct and immediate impact on our collaboration with the local health boards.
Existing Machine Learning methods have already been tested in a variety of patient classification problems.
In undertaking this project you will:
- develop new algorithms for the problem of learning probabilistic graphical models
- develop a variety of performance metrics to evaluate the performance of his/her algorithms based on datasets from the UCI Machine Learning repository
- carry out a detailed experimental analyses of the approaches.
We are interested in pursuing this project and welcome applications if you are self-funded or have funding from other sources, including government sponsorships or your employer.
Please contact the supervisor when you want to pursue this project, citing the project title in your email, or find out more about our PhD programme in Mathematics.