People-Finder Systems are knowledge repositories that attempt to manage knowledge by holding pointers to experts who possess specific knowledge within an organization. This paper ...
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
We describe the development and use of an online textbook for first-year calculus, the second edition of a book that first appeared in print. The principles on which the book is b...
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...