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» Systematic Simulation Using Sensitivity Analysis
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SADM
2010
196views more  SADM 2010»
13 years 2 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
CCS
2009
ACM
14 years 2 months ago
False data injection attacks against state estimation in electric power grids
A power grid is a complex system connecting electric power generators to consumers through power transmission and distribution networks across a large geographical area. System mo...
Yao Liu, Michael K. Reiter, Peng Ning
ISPASS
2007
IEEE
14 years 1 months ago
Modeling and Characterizing Power Variability in Multicore Architectures
Parameter variation due to manufacturing error will be an unavoidable consequence of technology scaling in future generations. The impact of random variation in physical factors s...
Ke Meng, Frank Huebbers, Russ Joseph, Yehea I. Ism...
ASPLOS
2008
ACM
13 years 9 months ago
No "power" struggles: coordinated multi-level power management for the data center
Power delivery, electricity consumption, and heat management are becoming key challenges in data center environments. Several past solutions have individually evaluated different ...
Ramya Raghavendra, Parthasarathy Ranganathan, Vani...
CORR
2011
Springer
259views Education» more  CORR 2011»
13 years 2 months ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...