We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
— Proactive replanning attempts to predict scheduling problems or opportunities and adapt to them throughout a schedule’s execution. By continuously predicting a task’s remai...
We address the problem of bandwidth selection in MLS surfaces. While the problem has received relatively little attention in the literature, we show that appropriate selection pla...
We present a wait-free protocol for the single-writer, multiple-reader problem in small-memory, embedded real-time systems. We analytically establish that our protocol requires le...
Hyeonjoong Cho, Binoy Ravindran, E. Douglas Jensen
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...
Marcelo Espinoza, Johan A. K. Suykens, Bart De Moo...