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Machine Learning
PhD course, 2013
Projects
During the course you are encouraged to carry out a project (1-3 students in each team), although it is not mandatory. The main purpose of these projects is to provide the opportunity to learn more about concepts relevant to the course and for successfully doing this you will get payed 3hp. Some of the projects will probably produce fruitful ideas for new research directions.
Besides the obvious requirement that the topic of the project must fit the course, there is one more requirement, which is that all project must be centered around a data set or some sort. There are by now lots of data sets available online, but it is of course even better if you can make use of some data set from your own research projects.
Active Projects 2013
| Project | Team |
|---|---|
| Comparing variational Bayes and MCMC in the LDA context | Mans Magnusson |
| HMCMC for Parameter Inference in Exchange Rate models | Johan Dahlin |
| Classification of attended speaker in multi-talker environments using EEG signals | Mattias Tiger |
| Expectation Maximization for magnetometer calibration | Manon Kok |
| Batch and Sequential Data-driven approaches to Bias Change Detection | Andre' Carvalho Bittencourt |
| Vehicle Mass Estimation using EM Algorithm |
Jonas Linder Maryam Sadeghi |
| Learning of State-Space Models using EM and SMC with applications to Quadrotor UAVs | Olov Andersson |
| Super-resolution in MRI using machine learning | Jens Sjölund Anneli Gottfridsson Gustaf Johansson |
Timetable
| Date | Action |
|---|---|
| Mar. 20 | Project proposals are due |
| Mar. 22 | Project proposal presentations |
| Apr. 29 | Final reports are due |
| May 2 | Final project presentations (in Signalen, 15-17) |
- Project Proposal: The report should explain the project background, the data set, the idea and how the work will be carried out. Upper page limit: 2. For the presentation, each team has 10+5 minutes, 10 for the actual presentation and 5 for discussion.
- Final Report: Final project report, clearly explains what has been accomplished within the project. The data set used should also be properly introduced. Upper page limit: 5.
- Final Presentation: We will use the presentation form used at most conferences, that is each team has 15 min. for presentation and 5 min. for discussion. These time limits are strict.
Informationsansvarig: Thomas Schön
Senast uppdaterad: 2013-04-02
