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DAC
2005
ACM
13 years 7 months ago
Mapping statistical process variations toward circuit performance variability: an analytical modeling approach
A physical yet compact gate delay model is developed integrating short-channel effects and the Alpha-power law based timing model. This analytical approach accurately predicts bot...
Yu Cao, Lawrence T. Clark
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
13 years 7 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
ECCV
2008
Springer
14 years 7 months ago
Background Subtraction on Distributions
Environmental monitoring applications present a challenge to current background subtraction algorithms that analyze the temporal variability of pixel intensities, due to the comple...
Teresa Ko, Stefano Soatto, Deborah Estrin
BMCBI
2008
120views more  BMCBI 2008»
13 years 5 months ago
Statistical issues in the analysis of Illumina data
Background: Illumina bead-based arrays are becoming increasingly popular due to their high degree of replication and reported high data quality. However, little attention has been...
Mark J. Dunning, Nuno L. Barbosa-Morais, Andy G. L...
BMCBI
2010
130views more  BMCBI 2010»
13 years 5 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...