|
autism spectrum disorder |
1 |
|
axillary lymph node (aln) |
1 |
|
bagging |
1 |
|
bayesian hierarchical models |
1 |
|
classification |
1 |
|
cooling systems |
1 |
|
data center (dc) |
1 |
|
data integration |
1 |
|
data-driven |
1 |
|
degrees of freedom adjustment |
1 |
|
derived outcomes |
1 |
|
distributed learning |
1 |
|
divide-and-conquer |
1 |
|
double robustness |
1 |
|
doubly robust estimation |
1 |
|
dual-energy computed tomography (dect) |
1 |
|
energy efficiency |
1 |
|
ensemble learning |
1 |
|
ensemble methods |
1 |
|
expected utility maximization |
1 |
|
fenchel-rockafellar duality |
1 |
|
gene co-expressions |
1 |
|
generalized cross-validation |
1 |
|
hidden variables |
1 |
|
high-dimensional regression |
1 |
|
hypothesis testing |
1 |
|
jacobian regularizer |
1 |
|
machine learning |
1 |
|
metastasis prediction |
1 |
|
multiple testing |
1 |
|
multivariate response regression |
1 |
|
neighborhood regression |
1 |
|
network data |
1 |
|
nuisance parameters |
1 |
|
penalized estimators |
1 |
|
portfolio management |
1 |
|
post-imputation inference |
1 |
|
power usage effectiveness (pue) |
1 |
|
predictive maintenance |
1 |
|
proportional asymptotics |
1 |
|
proteomic data |
1 |
|
pseudotime |
1 |
|
quantile treatment effects |
1 |
|
random forest |
1 |
|
ridge regression |
1 |
|
risk extrapolation |
1 |
|
safe screening |
1 |
|
sample average approximation |
1 |
|
scrna-seq data |
1 |
|
sensitivity analysis |
1 |
|
single-cell sequencing |
1 |
|
smart power applications |
1 |
|
stochastic block model |
1 |
|
subagging |
1 |
|
surrogate variables analysis |
1 |
|
tuning and model selection |
1 |
|
variational autoen-coder |
1 |
