Reconfigurable architectures enable the hardware function to be implemented by the user and, due to its characteristics, have been used in many areas, including Bioinformatics. One...
Abstract. We propose a SAT-based algorithm for incremental diagnosis of discrete-event systems. The monotonicity is ensured by a prediction window that uses the future observations...
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
—When SA is applied to continuous optimization problems, the design of the neighborhood used in SA becomes important. A lot of experiments are necessary to determine an appropria...
Abstract—This paper studies a constrained optical signal-tonoise ratio (OSNR) optimization problem in optical networks from the perspective of system performance. A system optimi...