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» Methods and Metrics for Selective Regression Testing
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AICCSA
2001
IEEE
172views Hardware» more  AICCSA 2001»
13 years 8 months ago
Methods and Metrics for Selective Regression Testing
In corrective maintenance, selective regression testing includes test selection from previously run test suite and test coverage identification. We propose three reductionbased re...
Rami Bahsoon, Nashat Mansour
IGARSS
2010
13 years 2 months ago
Support vector machines regression for estimation of forest parameters from airborne laser scanning data
Estimation of forest stand parameters from airborne laser scanning data relies on the selection of laser metrics sets and numerous field plots for model calibration. In mountainou...
Jean-Matthieu Monnet, Frédéric Berge...
ACL
2007
13 years 6 months ago
Regression for Sentence-Level MT Evaluation with Pseudo References
Many automatic evaluation metrics for machine translation (MT) rely on making comparisons to human translations, a resource that may not always be available. We present a method f...
Joshua Albrecht, Rebecca Hwa
IWANN
2009
Springer
13 years 11 months ago
RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 4 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey