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Recursive Random Forests Enable Better Predictive Performance and Model Interpretation than Variable Selection by LASSO.
Xiang-Wei Zhu
Yan-Jun Xin
Hui-Lin Ge
Published in:
J. Chem. Inf. Model. (2015)
Keyphrases
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variable selection
random forests
linear models
model selection
evolutionary algorithm
cross validation
group lasso
data sets
regression problems
linear regression
neural network model
simulated annealing
principal component analysis
pattern recognition
similarity measure
image processing
computer vision