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	Decision tree application to classification problems with boosting algorithm Journal article Electronics (Switzerland),2021, volume: 10, issue: 16 Authors: Zhao, Long; Lee, Sanghyuk; Jeong, Seon Phil Favorite \| View/Download：8/0 \| Submit date：2021/10/19 Boosting algorithm Cross-validation Decision tree Receiver operating curve
	pHeavy: Predicting Heavy Flows in the Programmable Data Plane Journal article IEEE Transactions on Network and Service Management,2021, volume: 18, issue: 4, pages: 4353-4364 Authors: Zhang, Xiaoquan; Cui, Lin Favorite \| View/Download：18/0 \| Submit date：2021/10/19 Computational modeling Decision tree Decision trees Heavy flow Machine learning Machine learning algorithms P4. Predictive models Programmable data plane Switches Training
	Integrated Learning via Randomized Forests and Localized Regression with Application to Medical Diagnosis Journal article IEEE Access,2019, volume: 7, pages: 18727-18733 Authors: Ogunleye, Adeola; Wang, Qingguo; Marwala, Tshilidzi Favorite \| View/Download：3/0 \| Submit date：2021/07/14 Classification and regression tree decision tree hybrid expert system
	Improving the classification accuracy in chemistry via boosting technique Journal article Chemometrics and Intelligent Laboratory Systems,2004, volume: 70, issue: 1, pages: 39-46 Authors: He, Ping; Xu, Cheng Jian; Liang, Yizeng; Fang, Kaitai Favorite \| View/Download：5/0 \| Submit date：2021/05/13 Boosting Chemometrics Classification Decision tree Neural network
	Boosting applied to classification of mass spectral data Journal article Journal of Data Science,2003, volume: 1, issue: 4, pages: 391-404 Authors: Varmuza, K.; He, Ping; Fang, Kaitai Favorite \| View/Download：1/0 \| Submit date：2021/08/23 Boosting data mining decision tree mass spectra