Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
We evaluate the anonymity provided by two popular email mix implementations, Mixmaster and Reliable, and compare their effectiveness through the use of simulations which model th...
We carry forward the work described in our previous papers [3, 14, 12] on the application of data independence to the model checking of cryptographic protocols using CSP [13] and ...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
The title of this paper, besides being a pun, can be taken to mean either the frontier of research in graph transformation, or the advantage of using graph transformation. To focus...