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HITON: A Novel Markov Blanket Algorithm for Optimal Variable Selection

We introduce a novel, sound, sample-efficient, and highly-scalable algorithm for variable selection for classification, regression and prediction called HITON. The algorithm works by inducing the Markov Blanket of the variable to be classified or predicted. A wide variety of biomedical tasks with di...

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書誌詳細
主要な著者: Aliferis, C.F., Tsamardinos, I., Statnikov, A.
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2003
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1480117/
https://ncbi.nlm.nih.gov/pubmed/14728126
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