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» Dynamic power management using machine learning
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ICSE
2004
IEEE-ACM
15 years 12 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst
ISF
2010
164views more  ISF 2010»
14 years 9 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
ICPPW
2007
IEEE
15 years 6 months ago
Power Management of Multicore Multiple Voltage Embedded Systems by Task Scheduling
We study the role of task-level scheduling in power management on multicore multiple voltage embedded systems. Multicore on-achip, in particular DSP systems, can greatly improve p...
Gang Qu
JAIR
2008
135views more  JAIR 2008»
14 years 11 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
ATAL
2008
Springer
15 years 1 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra