One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Abstract With potential application to a variety of industries, fleet sizing problems present a prevalent and significant challenge for engineers and managers. This is especially t...
Separating multiple tracks from professionally produced music recordings (PPMRs) is still a challenging problem. We address this task with a user-guided approach in which the sepa...
As service providers strive to improve the quality and efficiency of their IT (information technology) management services, the need to adopt a standard set of tools and processes...
There is a need to be able to program network components to adapt to application requirements for quality of service, specialised application dependent routing, to increase effici...