Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
Steven Busuttil, Yuri Kalnishkan, Alexander Gammer...
The increasing use of high-bandwidth and low-latency networks make possible the use of remote (network) memory as an alternative to disk means of storing an application's dat...
Our study addresses the problem of large-scale contradiction detection and management, from data extracted from the Web. We describe the first systematic solution to the problem,...
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
— The nature of Grid and distributed computing implies communication between heterogeneous systems over a wide and ever-changing variety of network environments. Often large amou...
John Bresnahan, Rajkumar Kettimuthu, Ian T. Foster