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
โฆ LIBER โฆ
Recognition algorithms with a linear procedure for constructing the decision function
โ Scribed by S.A. Yakovlev
- Publisher
- Elsevier Science
- Year
- 1978
- Weight
- 973 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0041-5553
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