In agent systems, different (autonomous) agents collaborate to execute complex tasks. Each agent provides a set of useful capabilities, and the agent system combines these capabili...
We present a conceptual framework for location-aware community systems and results from two studies of how sociallydefined places influence people's information sharing and c...
Quentin Jones, Sukeshini A. Grandhi, Steve Whittak...
This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic rate process can be predicted with bounded error; (2) w...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...