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
H. Almuallim, An efficient algorithm for optimal of decision trees
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 69 KB
- Volume
- 83
- Category
- Article
- ISSN
- 0004-3702
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โฆ Synopsis
Situations in which them is competition among possible contractor agents or possible manager agents are also considered. In all situations we assume that the contractor can choose a level of effort when carrying out the task and we would like the contractor to carry out the task efficiently without the need of close observation by the manager.
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