In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
This paper was inspired by the popularity of female video game protagonists despite girls’ and women’s continued hesitance to participate in digital gaming activities. The pil...
Simulation is a widely used technique in networking research and a practice that has suffered loss of credibility in recent years due to doubts about its reliability. In this pape...
We reverse engineer copyright enforcement in the popular BitTorrent file sharing network and find that a common approach for identifying infringing users is not conclusive. We desc...
Michael Piatek, Tadayoshi Kohno, Arvind Krishnamur...