Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
In this paper, we consider the problem of reducing the number of false positives generated by cooperative Intrusion Detection Systems (IDSs) in Mobile Ad hoc Networks (MANETs). We...
Hadi Otrok, Mourad Debbabi, Chadi Assi, Prabir Bha...
We present an extension to an existing SPARC V8 instruction set simulator, SimICS, to support accurate profiling of branches and instruction cache misses. SimICS had previously su...
This paper presents a service marketplace vision for enterprise-wide integrated design modeling. In this environment, expert participants and product development organizations are...
Shaun Abrahamson, David Wallace, Nicola Senin, Pet...
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...