The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
In this paper we describe our analysis of a real trace and propose a mobility model. The trace data we used for this study was collected from a military experiment carried out in L...
Xiaofeng Lu, Yung-chih Chen, Ian X. Y. Leung, Zhan...
We introduce JTorX, a tool for model-driven test derivation and execution, based on the ioco theory. This theory, originally presented in [12], has been refined in [13] with test-...
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
This paper presents a technique for high-level power estimation of microprocessors. The technique, which is based on abstract execution profiles called ’event signatures’, op...