In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
With aggressive technology scaling, SRAM design has been seriously challenged by the difficulties in analyzing rare failure events. In this paper we propose to create statistical ...
Jian Wang, Soner Yaldiz, Xin Li, Lawrence T. Pileg...
While the increasing need for addressing process variability in sub-90nm VLSI technologies has sparkled a large body of statistical timing and optimization research, the realizati...
Modern day applications require use of multi-processor systems for reasons of scalability and power efficiency. As more and more applications are integrated on a single device, m...
Akash Kumar, Bart Mesman, Henk Corporaal, Jef L. v...
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...