Tin Kam Ho is a computer scientist at IBM Research with contributions to machine learning, data mining, and classification. She is noted for introducing random decision forests in 1995, and for her pioneering work in ensemble learning and data complexity analysis. She is an IEEE Fellow and IAPR Fellow.
Tin Kam Ho
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Source Wikipedia: Random Forest Algorithm
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Source Wikipedia: Random Forest Algorithm
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Tin Kam Ho - Wikipedia
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Tin Kam Ho (Chinese: 何天琴) is a computer scientist at IBM Research with contributions to machine learning, data mining, and classification.
- In Field: Machine Learning, Lead paragraph
View the SourceWikidata: Tin Kam Ho
Wikidata Q48972688, class allow-list match (w-wdresolver-0926)View the Source Wikipedia: Random Forest Algorithm
Wikimedia FoundationCredited: Random Forest Algorithm, Lead
The first algorithm for random decision forests was created in 1995 by Tin Kam Ho using the random subspace method, which, in Ho's formulation, is a way to implement the "stochastic discrimination" approach to classification proposed by Eugene Kleinberg.
Invented: Random Forest Algorithm, Lead
The first algorithm for random decision forests was created in 1995 by Tin Kam Ho using the random subspace method, which, in Ho's formulation, is a way to implement the "stochastic discrimination" approach to classification proposed by Eugene Kleinberg.
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