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Empirical bayesian binary classification forests using bootstrap prior

In this paper, we present a new method called Empirical Bayesian Random Forest (EBRF) for binary classification problem. The prior ingredient for the method was obtained using the bootstrap prior technique. EBRF addresses explicitly low accuracy problem in Random Forest (RF) classifier when the numb...

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書誌詳細
主要な著者:	Olaniran, Oyebayo Ridwan, Abdullah, Mohd Asrul Affendi, Gopal Pillay, Khuneswari A/P, Olaniran, Saidat Fehintola
フォーマット:	論文
出版事項:	Science Publishing Corporation 2018
主題:	T57.6-57.97 Operations research. Systems analysis
オンライン･アクセス:	http://eprints.uthm.edu.my/3676/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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