BDT

Gradient Boosting

NTrees and Shrinkage is the most important variables, basically, if not tuned, it will lead to overtraining.

But if we turn on the RandomizedTrees, for each tree, we only take a few of features, it will help a lot in improving overtraining condition.

Finding maximum/minimum

Evolution Strategy

https://blog.openai.com/evolution-strategies/#content

Smoothing

BoxCar

https://terpconnect.umd.edu/~toh/spectrum/Smoothing.html

http://iopscience.iop.org/article/10.1088/0741-3335/27/7/004/meta

-- RongkunWang - 2018-01-21

Edit | Attach | Watch | Print version | History: r3 < r2 < r1 | Backlinks | Raw View | WYSIWYG | More topic actions
Topic revision: r3 - 2018-03-28 - RongkunWang
 
    • Cern Search Icon Cern Search
    • TWiki Search Icon TWiki Search
    • Google Search Icon Google Search

    Sandbox All webs login

This site is powered by the TWiki collaboration platform Powered by PerlCopyright &© 2008-2023 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
or Ideas, requests, problems regarding TWiki? use Discourse or Send feedback