Metaheuristic Methods for Probabilistic Graphical Models
This research project is in competition for funding with one or more projects available across the EPSRC Doctoral Training Partnership (DTP). Usually the projects which receive the best applicants will be awarded the funding. Find out more information about the DTP and how to apply.
Application deadline: 15 March 2019
Start date: 1 October 2019
The aim of this project is to develop approaches for learning probabilistic graphical models that can be used for classification problems and to explore causal relationships between attributes.
- You will develop new algorithms for the problem of learning probabilistic graphical models.
- You will develop a variety of performance metrics to evaluate the performance of his/her algorithms based on datasets from the UCI Machine Learning repository.
- You will carry out a detailed experimental analyses of the approaches.
The output of the work will have a direct and immediate impact Cardiff University’s collaboration with the local health boards.