When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
Abstract—Transactional Memory (TM) is emerging as a promising technology to simplify parallel programming. While several TM systems have been proposed in the research literature,...
Chi Cao Minh, JaeWoong Chung, Christos Kozyrakis, ...
We propose a new fault localization technique for software bugs in large-scale computing systems. Our technique always collects per-process function call traces of a target system...
This paper presents a scalable, adaptive and timebounded general approach to assure reliable, real-time Node-Failure Detection (NFD) for large-scale, high load networks comprised ...
Matthew Gillen, Kurt Rohloff, Prakash Manghwani, R...
Code injection attacks are a top threat to today’s Internet. With zero-day attacks on the rise, randomization techniques have been introduced to diversify software and operation...
Xuxian Jiang, Helen J. Wang, Dongyan Xu, Yi-Min Wa...