Almost all of the work in graphical models for game theory has mirrored
...
The significance of the study of the theoretical and practical propertie...
Potential games, originally introduced in the early 1990's by Lloyd Shap...
This short paper concerns discretization schemes for representing and
co...
Many applications require that we learn the parameters of a model from d...
Sampling is an important tool for estimating large, complex sums and
int...
We consider the problem of approximate belief-state monitoring using par...
AdaBoost is one of the most popular machine-learning algorithms. It is s...