Weighted majority algorithm (machine learning)
id:
weighted-majority-algorithm-machine-learning-294-16633047
title:
Weighted majority algorithm (machine learning)
text:
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, but there are sufficient reasons to believe that one or more will perform well. Assume that the problem is a binary decision problem. To construct
brand slug:
wiki
category slug:
encyclopedia
description:
Method of using a pool of algorithms
original url:
https://en.wikipedia.org/wiki/Weighted_majority_algorithm_(machine_learning)
date created:
date modified:
2024-01-13T18:56:34Z
main entity:
{"identifier":"Q7979889","url":"https://www.wikidata.org/entity/Q7979889"}
image:
fields total:
13
integrity:
14