Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
In this paper, we propose a refinement of TCP Westwood allowing the management of the Efficiency/Friendliness-toNewReno tradeoff. We show that the refined TCP Westwood is able to ...
Ren Wang, Massimo Valla, M. Y. Sanadidi, Bryan K. ...
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
"Have you ever played a side-scrolling action arcade game on your PC and wondered what it takes to program one? How do the programmers scroll their backgrounds so fast and mak...
—Last year we were able to break KeeLoq, which is a 64 bit block cipher that is popular for remote keyless entry (RKE) systems. KeeLoq RKEs are widely used for access control pur...
Christof Paar, Thomas Eisenbarth, Markus Kasper, T...