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20192022
most citedDNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values

17 citations · 21 across the 7 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

stat.ML2020★ 1 cited

(Decision and regression) tree ensemble based kernels for regression and classification

Dai Feng, Richard Baumgartner

Tree based ensembles such as Breiman's random forest (RF) and Gradient Boosted Trees (GBT) can be interpreted as implicit kernel generators, where the ensuing proximity matrix repr…

stat.ML2020★ 1 cited

Random Forest (RF) Kernel for Regression, Classification and Survival

Dai Feng, Richard Baumgartner

Breiman's random forest (RF) can be interpreted as an implicit kernel generator,where the ensuing proximity matrix represents the data-driven RF kernel. Kernel perspective on the R…