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Weighted majority algorithm (machine learning)

In machine learning, weighted majority algorithm (WMA) is a meta learning algorithm used to construct a compound algorithm from a pool of prediction algorithms, which could be any type of learning algorithms, classifiers, or even real human experts. The algorithm assumes that we have no prior knowledge about the accuracy of the algorithms in the pool…

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Machine learning Meta learning Algorithm Pool Decision problem

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Machine learning
Meta learning Meta-learning (computer science)
Algorithm
Pool Pool (computer science)
Decision problem
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Weighted majority algorithm (machine learning)

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algorithm pool algorithms compound weighted majority construct prediction one given makes predictions randomized machine learning wma meta used could type

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