This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
As our technologies travel to new cultural contexts and our designs and methods engage new constituencies, both our design and analytical practices face significant challenges. We...
Lilly Irani, Janet Vertesi, Paul Dourish, Kavita P...
Building a “Straightforward” path in wireless ad hoc sensor networks (WASNs) not only avoids wasting energy in detours, but also incurs less interference in other transmission...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...