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SYNTHESE
2011
72views more  SYNTHESE 2011»
12 years 11 months ago
Science without (parametric) models: the case of bootstrap resampling
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
Jan Sprenger
UAI
2008
13 years 6 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
TSE
2002
105views more  TSE 2002»
13 years 4 months ago
Disaggregating and Calibrating the CASE Tool Variable in COCOMO II
CASE (Computer Aided Software Engineering) tools are believed to have played a critical role in improving software productivity and quality by assisting tasks in software developme...
Jongmoon Baik, Barry W. Boehm, Bert Steece