[HTML][HTML] Local case-control sampling: Efficient subsampling in imbalanced data sets
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS.
W Fithian, T Hastie - Annals of Statistics, 2014 - europepmc.org
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
Local case-control sampling: Efficient subsampling in imbalanced data sets
W Fithian, T Hastie - arXiv e-prints, 2013 - ui.adsabs.harvard.edu
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
Local case-control sampling: Efficient subsampling in imbalanced data sets
W Fithian, T Hastie - 2014 - projecteuclid.org
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
Local case-control sampling: Efficient subsampling in imbalanced data sets
W Fithian, T Hastie - arXiv preprint arXiv:1306.3706, 2013 - arxiv.org
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
Local case-control sampling: efficient subsampling in imbalanced data sets
W Fithian, T Hastie - Annals of statistics, 2014 - safetylit.org
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS
W Fithian, T Hastie - The Annals of Statistics, 2014 - JSTOR
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS
W Fithian, T Hastie - Annals of statistics, 2014 - pubmed.ncbi.nlm.nih.gov
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS
W FITHIAN, T HASTIE - The Annals of Statistics, 2014 - projecteuclid.org
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS.
W Fithian, T Hastie - Annals of Statistics, 2014 - europepmc.org
For classification problems with significant class imbalance, subsampling can reduce
computational costs at the price of inflated variance in estimating model parameters. We …
computational costs at the price of inflated variance in estimating model parameters. We …