Maximum margin clustering (MMC) is a recent large margin unsupervised learning approach that has often outperformed conventional clustering methods. Computationally, it involves n...
Scientific practices increasingly incorporate sensors for data capture, information visualization for data analysis, and low-cost mobile devices for fieldbased inquiries incorpora...
Daniel Spikol, Marcelo Milrad, Heidy Maldonado, Ro...
— Application of Discrete Multi-tone (DMT) signaling to high-speed backplane interconnects requires major modifications to the well-known analysis methods applied to wireline com...
Amir Amirkhany, Ali-Azam Abbasfar, Vladimir Stojan...
Optimizing the performance of dynamic load balancing toolkits and applications requires the adjustment of several runtime parameters; however, determining sufficiently good value...
The high variability of students’ backgrounds typically found in introductory programming courses creates additional difficulties to foster motivation and ensure the desired co...