Ensemble based systems in decision making
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Abstract
In matters of great importance that have financial, medical, social, or other implications, we often seek a second opinion before making a decision, sometimes a third, and sometimes many more. In doing so, we weigh the individual opinions, and combine them through some thought process to reach a final decision that is presumably the most informed one. The process of consulting "several experts" before making a final decision is perhaps second nature to us; yet, the extensive benefits of such a process in automated decision making applications have only recently been discovered by computational intelligence community. Also known under various other names, such as multiple classifier systems, committee of…
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Topics
Keywords
- Computer science
- Machine learning
- Boosting (machine learning)
- AdaBoost
- Artificial intelligence
- Classifier (UML)
- Ensemble learning
- Voting
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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