In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
This paper describes a design space exploration experiment for a real application from the embedded networking domain - the physical layer of a wireless protocol. The application ...
Laura Vanzago, Bishnupriya Bhattacharya, Joel Camb...
This paper presents research on the application of the means-end chain (MEC) framework for investigating customers cognitive structure regarding community applications. It is argu...
We present a framework for validating the compliance of a design with a given architecture. Our approach is centered on the concept of misinterpretations. These include missing be...