Decision forest is an ensemble classification method that combines multiple decision trees to in a manner that results in more accurate classifications. By combining multiple heterogeneous decision trees, decision forest is effective in mitigating noise that is often prevalent in real-world classifi
An algorithm for the Lorenz measure in locational decisions on trees
β Scribed by Oded Maimon
- Publisher
- Elsevier Science
- Year
- 1988
- Tongue
- English
- Weight
- 723 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0196-6774
No coin nor oath required. For personal study only.
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