Spring 2017
Lectures: MWF 1:00pm-1:50pm
Room: NH 100
Instructor: Vassilis Athitsos
A detailed investigation of current machine learning methods, including statistical, connectionist, and symbolic learning. Presents theoretical results for comparing methods and determining what is learnable. Current issues in machine learning research will also be examined.