kjw0612 / awesome-random-forest Goto Github PK

Hi all. I am interested in how the bootstrapping techniques affect the performance random forest. Is there any paper on this topic?
To my knowledge, one essential condition for the good performance of random forest is that the trees are uncorrelated. The correlation between trees may be affected by the bootstrapping technique used.
However, I have not found any paper on this paper. Any suggestion would be greatly appreciated. Many thanks!

I have a matrix of 4000*1400, can I use it for classification problems using random forest?

이게 random forest 라고 이름짓긴 했는데, 사실 넓게는 tree (뉴럴에서의 network말고) 갖고 하는 방법들 decision tree, additive tree, boosting, ensemble 등도 종국엔 다 포함했으면 해~

Hello, I don't know if you are still maintaining this repo, but I find some links(lectures ICCV2013) pointing to porn images.