In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
We present an interactive, hybrid human-computer method for object classification. The method applies to classes of objects that are recognizable by people with appropriate expert...
PowerUp is a multi-player virtual world educational game with a broad set of accessibility features built in. This paper considers what features are necessary to make virtual worl...
Shari Trewin, Vicki L. Hanson, Mark Laff, Anna Cav...
In this paper, we propose a novel general framework for analysing competing double auction markets that vie for traders, who then need to choose which market to go to. Based on th...
Bing Shi, Enrico H. Gerding, Perukrishnen Vyteling...