As semiconductor processing technology continues to scale down, managing reliability becomes an increasingly difficult challenge in high-performance microprocessor design. Transie...
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
During software maintenance tasks, developers often spend an important amount of effort investigating source code. This effort can be reduced if tools are available to help develo...
We present a memory efficient, practical, systolic, parallel architecture for the complete 0/1 knapsack dynamic programming problem, including backtracking. This problem was inte...
Many of the existing techniques for impact set computation in change propagation and regression testing are approximate for the sake of efficiency. A way to improve precision is ...