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
β¦ LIBER β¦
Method for parallel construction of a committee of decision tree for processing the electroencephalography signals
β Scribed by E. A. Popova
- Book ID
- 111497022
- Publisher
- Allerton Press, Inc.
- Year
- 2009
- Tongue
- English
- Weight
- 143 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0278-6419
No coin nor oath required. For personal study only.
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## Purpose: Climate change affects human health and calls for health meteorological services. the purpose of this study is to find the significant predictors for the demands of the health meteorological information. ## Methods: This study used a descriptive design through structured self-report q