Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Many research projects have defined applications that are claimed to operate in a MANet environment. Consider for instance these software tools that make it possible to share inf...
Most encryption algorithms are designed without regard to their performance on top-of-the-line microprocessors. This paper discusses general optimization principles algorithms desi...
We present Shopper, a plan execution engine that facilitates experimental evaluation of plans and makes it easier for planning researchers to incorporate replanning. Shopper inter...
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...