Weighted majority algorithm (machine learning): Difference between revisions

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{{Short description|Method of using a pool of algorithms}}

{{Underlinked|date=August 2016}}

In [[machine learning]], '''weighted majority algorithm (WMA)''' is a [[meta-learning (computer science)|meta learning]] [[algorithm]] used to construct a compound algorithm from a [[Pool (computer science)|pool]] of prediction algorithms, which could be any type of learning algorithms, classifiers, or even real human experts.<ref name="LW94">{{cite journal

| last1 = Littlestone

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| date = 1994

| pages = 212–261

| doi=10.1006/inco.1994.1009}}</ref><ref| doi-access name="LW89">{{cite conferencefree

| url = http://www.dklevine.com/archive/refs4575.pdf

}}</ref><ref name="LW89">{{cite conference

| last1 = Littlestone

| first1 = N.