Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
We study the development of common ground in an emergency management planning task. Twelve three-person multi-role teams performed the task with a paper prototype in a controlled ...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
A number of recent scams and security attacks (phishing, spyware, fake terminals, ...) hinge on a crook's ability to observe user behavior. In this paper, we describe the des...