A common assumption in supervised learning is that the training and test input points follow the same probability distribution...
Keywords: linear regression, generalization error, model selection, covariate shift, sample selection
04/2005 | Statistics & Decisions, Oldenbourg WissenschaftsverlagThe numerical test results of different D-dimer assays vary widely. Because of the complexity of the analyte of target as well as the variability in specificity of different D-dimer assays, only harmonisation of the test results seems to be feasible...
Keywords: D-dimer, harmonisation, linear regression, commutability
03/2006 | Thrombosis and Haemostasis, Schattauer