We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
Before applying learning algorithms to datasets, practitioners often globally discretize any numeric attributes. If the algorithm cannot handle numeric attributes directly, prior ...
Abstract: Approximate string matching is fundamental to bioinformatics, and has been the subject of numerous FPGA acceleration studies. We address issues with respect to FPGA imple...
Martin C. Herbordt, Josh Model, Yongfeng Gu, Bhara...
Abstract We are dealing with the optimal, i.e. densest packings of congruent circles into the unit square. In the recent years we have built a numerically reliable, verified method...
As the number of metal layers and the frequency of VLSI continue to increase, the voltage droop on both the package and vias is becoming more pronounced. This paper analyzes the nu...
Jin Shi, Yici Cai, Xianlong Hong, Sheldon X.-D. Ta...