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Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates.
Janek Thomas
Andreas Mayr
Bernd Bischl
Matthias Schmid
Adam Smith
Benjamin Hofner
Published in:
Stat. Comput. (2018)
Keyphrases
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variable selection
gradient boosting
kernel ridge regression
loss function
model selection
cross validation
high dimensional
dimension reduction
base learners
regression problems
support vector
feature selection
regression model
pairwise
single feature
relational domains
naive bayes
data sets
linear regression