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Synthetic learning machines

BACKGROUND: Using a collection of different terminal nodesize constructed random forests, each generating a synthetic feature, a synthetic random forest is defined as a kind of hyperforest, calculated using the new input synthetic features, along with the original features. RESULTS: Using a large co...

詳細記述

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書誌詳細
出版年:BioData Min
主要な著者: Ishwaran, Hemant, Malley, James D
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4279689/
https://ncbi.nlm.nih.gov/pubmed/25614764
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-014-0028-y
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