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» Model Selection and Error Estimation
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DAC
2007
ACM
16 years 5 months ago
Width-dependent Statistical Leakage Modeling for Random Dopant Induced Threshold Voltage Shift
Statistical behavior of device leakage and threshold voltage shows a strong width dependency under microscopic random dopant fluctuation. Leakage estimation using the conventional...
Jie Gu, Sachin S. Sapatnekar, Chris H. Kim
188
Voted
ICML
2000
IEEE
16 years 5 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
CSDA
2006
98views more  CSDA 2006»
15 years 4 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
CORR
2010
Springer
93views Education» more  CORR 2010»
15 years 4 months ago
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
Javier Turek, Irad Yavneh, Matan Protter, Michael ...
EC
2007
101views ECommerce» more  EC 2007»
15 years 4 months ago
Revisiting Negative Selection Algorithms
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to ...
Zhou Ji, Dipankar Dasgupta