In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
This paper presents our development of a synthetic traffic model for the interactive online computer game Quake3. The goal is a traffic model that can be used by researchers and I...
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
Recently, Wobbrock et al. (2008) derived a predictive model of pointing accuracy to complement Fitts’ law’s predictive model of pointing speed. However, their model was based ...