We describe a user interface for wireless information devices, specifically designed to facilitate learning about users’ individual interests in daily news stories. User feedbac...
We introduce and study qualitative multiple outcomes games. These games are noncooperative games with qualitative utilities (i.e., values over an ordinal scale), strictly qualitat...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
Software systems are subject to ever increasing complexity and in need of efficient structuring. The concept of organization as an exand abstract real-world reference presents a pr...