|Time:|| 3:30pm - 4:30 pm
Wean Hall 8220
Department of Mathematics and Statistics
Using model theory to find upper bounds on VC density
The VC dimension of a collection of sets is a concept used in probability and learning theory. It is closely related to the model-theoretic concept of the independence property. In this talk, I will illustrate these concepts in various examples, and show how the model-theoretic approach can give some bounds on VC density.