In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
We report on a series of highly controlled human subject experiments in networked bargaining. The basic interaction between two players is the decision of how to share a mutual pa...
Tanmoy Chakraborty, J. Stephen Judd, Michael Kearn...
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
The FaCT (Fact and Concept Training) System provides a general platform for delivering practice in the form of discrete flashcard-like drills. The system optimizes practice schedu...
Rich computer simulations or quantitative models can enable an agent to realistically predict real-world behavior with precision and performance that is difficult to emulate in log...