How does 'prior' and 'cost' parameters influence esembling learning ?

1 次查看(过去 30 天)
I am interested in how 'prior' and 'cost' are implemented in esembling learning algorithm of MATLAB. More specifically, how they are implemented in 'AdaboostM1' and 'Bag'.
  1. How does they influence the training process at ensemble level ?
  2. How does they influence the training process at weaker learner level ?

采纳的回答

Hiro Yoshino
Hiro Yoshino 2022-1-10
This link seems to have an answer for it together with other links to relevant information.
  1 个评论
Keyan Li
Keyan Li 2022-1-10
Hi Hiro, Thanks for your reply. I have looked at that page. I am more interested to know more details about the implementation. For example, in this page, it explains how observation weights influence the training process of "bag" and "AdaboostM1". I am interested in the implications of "prior" and "cost" in "bag" and "AdaboostM1" as well.

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Classification Ensembles 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by