https://github.com/deshanadesai/margin-based-adaboost

Vanilla Adaboost implementation and Adaboost with Margin
https://github.com/deshanadesai/margin-based-adaboost

Last synced: about 2 months ago
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Vanilla Adaboost implementation and Adaboost with Margin

• Host: GitHub
• URL: https://github.com/deshanadesai/margin-based-adaboost
• Owner: deshanadesai
• Created: 2017-12-04T18:50:26.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-12-04T19:16:02.000Z (over 7 years ago)
• Last Synced: 2025-02-12T15:21:20.543Z (4 months ago)
• Language: Jupyter Notebook
• Size: 494 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Margin-based-Adaboost

Vanilla Adaboost implementation and Adaboost with Margin

Reference Papers: 

1) [Efficient Margin Maximizing with Boosting](http://www.jmlr.org/papers/volume6/ratsch05a/ratsch05a.pdf)

2) [How Boosting the Margin Can Also Boost Classifier Complexity](http://rob.schapire.net/papers/boost_complexity.pdf)

The Adaboost(rho) algorithm is the exact same algorithm when rho = 0.

Pseudocode:

![Algorithm](https://github.com/deshanadesai/Margin-based-Adaboost/raw/master/images/algo.png)