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cs.LG2011★ 1 cited
Bipartite ranking algorithm for classification and survival analysis
Marina Sapir
Unsupervised aggregation of independently built univariate predictors is explored as an alternative regularization approach for noisy, sparse datasets. Bipartite ranking algorithm…
cs.LG2011
Bias Plus Variance Decomposition for Survival Analysis Problems
Marina Sapir
Bias - variance decomposition of the expected error defined for regression and classification problems is an important tool to study and compare different algorithms, to find the b…
cs.LG2011
Ensemble Risk Modeling Method for Robust Learning on Scarce Data
Marina Sapir
In medical risk modeling, typical data are "scarce": they have relatively small number of training instances (N), censoring, and high dimensionality (M). We show that the problem m…