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DAC
1997
ACM
15 years 11 months ago
Power Macromodeling for High Level Power Estimation
A modeling approach is presented that captures the dependence of the power dissipation of a combinational logic circuit on its input output signal switching activity. The resulting...
Subodh Gupta, Farid N. Najm
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
CODES
2010
IEEE
15 years 4 months ago
Worst-case performance analysis of synchronous dataflow scenarios
Synchronous Dataflow (SDF) is a powerful analysis tool for regular, cyclic, parallel task graphs. The behaviour of SDF graphs however is static and therefore not always able to ac...
Marc Geilen, Sander Stuijk
IEEEVAST
2010
15 years 1 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
ESOP
2010
Springer
16 years 4 months ago
Weighted Dynamic Pushdown Networks
We develop a generic framework for the analysis of programs with recursive procedures and dynamic process creation. To this end we combine the approach of weighted pushdown systems...
Alexander Wenner