In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Our goal is to identify the key architectural and design issues related to Sensor Networks (SNs), evaluate the proposed solutions, and to outline the most challenging research dir...
— Providing powerful and fine-grained capabilities for the analysis and management of non-functional properties is a major challenge for component-based software systems. This a...
The application of Fourier analysis to a genome can be used as an indicator of gene coding regions. We have developed a visualisation of the Fourier spectra that allows convenient...
Prior research in software environments focused on three important problems-- tool integration, artifact management, and process guidance. The context for that research, and hence...