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» Model Selection and Error Estimation
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ESANN
2006
13 years 9 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
DSN
2007
IEEE
14 years 1 months ago
On the Selection of Error Model(s) for OS Robustness Evaluation
The choice of error model used for robustness evaluation of Operating Systems (OSs) influences the evaluation run time, implementation complexity, as well as the evaluation preci...
Andréas Johansson, Neeraj Suri, Brendan Mur...
TSP
2008
102views more  TSP 2008»
13 years 7 months ago
A Minimax Chebyshev Estimator for Bounded Error Estimation
We develop a nonlinear minimax estimator for the classical linear regression model assuming that the true parameter vector lies in an intersection of ellipsoids. We seek an estimat...
Yonina C. Eldar, Amir Beck, Marc Teboulle
HCI
2009
13 years 5 months ago
Estimating Productivity: Composite Operators for Keystroke Level Modeling
Task time is a measure of productivity in an interface. Keystroke Level Modeling (KLM) can predict experienced user task time to within 10 to 30% of actual times. One of the bigges...
Jeff Sauro
APPML
2008
58views more  APPML 2008»
13 years 7 months ago
Precise asymptotics for the first moment of the error variance estimator in linear models
Let 2 be the unknown error variance of a linear model and let ^2 be the estimator of 2 based on the residual sum of squares. In this work, we show the precise asymptotics in the l...
Ke-Ang Fu, Wei-Dong Liu, Li-Xin Zhang