In this paper we first overview the main concepts of Statistical Learning Theory, a framework in which learning from examples can be studied in a principled way. We then briefly di...
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...
OpenNERO is an open source game platform designed for game AI research. The software package combines features commonly available in modern game engines (such as 3D graphics, phys...
So-called Physical Unclonable Functions are an emerging, new cryptographic and security primitive. They can potentially replace secret binary keys in vulnerable hardware systems an...
This paper discusses the Betty’s Brain system and our ongoing work on developing a suite of tools that assist students and teachers in classroom learning in science domains. We ...
John Wagster, Henry Kwong, Gautam Biswas, Daniel S...