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DATE
2009
IEEE
167views Hardware» more  DATE 2009»
14 years 2 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
CSDA
2006
92views more  CSDA 2006»
13 years 7 months ago
Robust measures of tail weight
The kurtosis coefficient is often regarded as a measure of the tail heaviness of a distribution relative to that of the normal distribution. However, it also measures the peakedne...
Guy Brys, Mia Hubert, Anja Struyf
BMCBI
2008
107views more  BMCBI 2008»
13 years 7 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
ICIP
1998
IEEE
14 years 9 months ago
Adaptive Wavelet Packet Image Coding using an Estimation-Quantization Framework
In this paper, we extend the statistical model-based Estimation-Quantization (EQ) wavelet image coding algorithm introduced in [?] to include an adaptive transform component. For ...
Kannan Ramchandran, Mehmet Kivanç Mih&ccedi...
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 8 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker