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PROMISE
2010
13 years 2 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
AAAI
2006
13 years 9 months ago
Improving Approximate Value Iteration Using Memories and Predictive State Representations
Planning in partially-observable dynamical systems is a challenging problem, and recent developments in point-based techniques such as Perseus significantly improve performance as...
Michael R. James, Ton Wessling, Nikos A. Vlassis
ASPLOS
2008
ACM
13 years 10 months ago
Feedback-driven threading: power-efficient and high-performance execution of multi-threaded workloads on CMPs
Extracting high-performance from the emerging Chip Multiprocessors (CMPs) requires that the application be divided into multiple threads. Each thread executes on a separate core t...
M. Aater Suleman, Moinuddin K. Qureshi, Yale N. Pa...
IWDW
2007
Springer
14 years 2 months ago
Reversible Data Hiding Using Prediction Error Values Embedding
Yongjian Hu, Heung-Kyu Lee, Jianwei Li, Kaiying Ch...