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» Input Modeling Using Quantile Statistical Methods
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131
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DAC
2004
ACM
16 years 3 months ago
STAC: statistical timing analysis with correlation
Current technology trends have led to the growing impact of both inter-die and intra-die process variations on circuit performance. While it is imperative to model parameter varia...
Jiayong Le, Xin Li, Lawrence T. Pileggi
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
15 years 3 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
CORR
1999
Springer
67views Education» more  CORR 1999»
15 years 2 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh
103
Voted
ESANN
2006
15 years 3 months ago
A Cyclostationary Neural Network model for the prediction of the NO2 concentration
Air pollution control is a major environmental concern. The quality of air is an important factor for everyday life in cities, since it affects the health of the community and dire...
Monica Bianchini, Ernesto Di Iorio, Marco Maggini,...
108
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EMNLP
2007
15 years 3 months ago
A Sequence Alignment Model Based on the Averaged Perceptron
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
Dayne Freitag, Shahram Khadivi