The race conditions often limit the smallest feasible clock period that the optimal clock skew scheduling can achieve. Therefore, the combination of clock skew scheduling and dela...
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Presently, Architecture Description Languages (ADLs) are widely used to raise the abstraction level of the design space exploration of Application Specific Instruction-set Proces...
Ernst Martin Witte, Anupam Chattopadhyay, Oliver S...
Current design automation methodologies are becoming incapable of achieving design closure especially in the presence of deep submicron effects. This paper addresses the issue of ...
Ankur Srivastava, Seda Ogrenci Memik, Bo-Kyung Cho...