Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
This work was motivated by a discussion that two of the coauthors (computer science professors) had with the other coauthor (a law professor and a former computer crime Trial Atto...
We present a demonstration of a multi-agent prototype for distributed planning and coordination in dynamic non-deterministic multi-actor mixed-initiative environments. The system ...
Heart disease continues to be leading cause of morbidity and mortality among adults all over the world. Cardiac risk factor assessment requires a classification system that is rob...
In the context of the emergence of alternative computing resources to address the challenge of the upcoming end of Moore’s law, we consider the feasibility of gathering computat...