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EOR
2006
113views more  EOR 2006»
13 years 10 months ago
Validation of regression metamodels in simulation: Bootstrap approach
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Jack P. C. Kleijnen, David Deflandre
HPCA
2007
IEEE
14 years 10 months ago
Illustrative Design Space Studies with Microarchitectural Regression Models
We apply a scalable approach for practical, comprehensive design space evaluation and optimization. This approach combines design space sampling and statistical inference to ident...
Benjamin C. Lee, David M. Brooks
CSDA
2007
92views more  CSDA 2007»
13 years 9 months ago
On the estimation of the linear relation when the error variances are known
The problem of consistent estimation in measurement error models in a linear relation with not necessarily normally distributed measurement errors is considered. Three possible es...
H. Schneeweiss, H. Shalabh
CVPR
2007
IEEE
14 years 12 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
JMLR
2008
151views more  JMLR 2008»
13 years 9 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs