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» Methods and Metrics for Selective Regression Testing
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ICCV
2005
IEEE
15 years 5 months ago
Image Based Regression Using Boosting Method
We present a general algorithm of image based regression that is applicable to many vision problems. The proposed regressor that targets a multiple-output setting is learned using...
Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Z...
CSDA
2007
88views more  CSDA 2007»
14 years 11 months ago
A study of partial F tests for multiple linear regression models
Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence...
Mortaza Jamshidian, Robert I. Jennrich, Wei Liu
CSMR
2007
IEEE
15 years 6 months ago
The Dynamic Function Coupling Metric and Its Use in Software Evolution
Many of the existing techniques for impact set computation in change propagation and regression testing are approximate for the sake of efficiency. A way to improve precision is ...
Árpád Beszédes, Tamás ...
CEC
2011
IEEE
13 years 11 months ago
Trainer selection strategies for coevolving rank predictors
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
Daniel L. Ly, Hod Lipson
DAGM
2006
Springer
15 years 3 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann