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
Efficient Merging and Construction of Evolutionary Trees
✍ Scribed by Andrzej Lingas; Hans Olsson; Anna Östlin
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 99 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0196-6774
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✦ Synopsis
In this paper we study the algorithmic problem of constructing rooted evolutionary trees in the so-called experiment model. This model was first presented by Ž Ž . .
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