Grades: presentation/project.
Statistical machine learning is concerned with modeling properties of data using statistical and probabilistic models.
Graphical models use graph structure to represent the underlying
probability distribution. In this seminar class we will discuss various
aspects of inference in graphical models as well as applications of graphical models.
The page with project suggestions and discussions can be found here. If you have a CSE account, you should be able to access and edit the page, if you don't, send me an e-mail and I'll add you to the list.