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Integrating Boosting and Stochastic Attribute Selection Committees for Further Improving the Performance of Decision Tree Learning

机译：整合Boosting和随机属性选择委员会，进一步提高决策树学习的绩效

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Zijian Zheng; Geoffrey I. Webb; Kai Ming Ting;
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年度 1998
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1. Improving The Predictive Performance by Integrating Decision tree based Attribute Selection in Clustering [J] . Rakesh teki, Hari narayana.P International Journal of Computer Trends and Technology . 2013,第7期

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2. A data sampling and attribute selection strategy for improving decision tree construction [J] . Karabadji Nour El Islem, Khelf Ilyes, Seridi Hassina, Expert Systems with Application . 2019,第SEPa期

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3. A data sampling and attribute selection strategy for improving decision tree construction [J] . Karabadji Nour El Islem, Khelf Ilyes, Seridi Hassina, Expert systems with applications . 2019,第Sepa期

机译：改进决策树建设的数据采样和属性选择策略
4. Integrating boosting and stochastic attribute selection committees for further improving the performance of decision tree learning [C] . Zijian Zheng, Webb, G.I. . 1998

机译：整合提升和随机属性选择委员会，以进一步提高决策树学习的绩效
5. Top quark produced through the electroweak force: Discovery using the matrix element analysis and search for heavy gauge bosons using boosted decision trees. [D] . Pangilinan, Monica. 2010

机译：通过电弱力产生的顶级夸克：使用矩阵元素分析进行发现，并使用增强决策树搜索重度玻色子。
6. Integrating Sensor Models in Deep Learning Boosts Performance: Application to Monocular Depth Estimation in Warehouse Automation [O] . Ryota Yoneyama, Angel J. Duran, Angel P. del Pobil 2021

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7. Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees [O] . Zijian Zheng, Geoffrey I. Webb 1998

机译：具有多重提升的随机属性选择委员会：学习更准确，更稳定的分类器委员会

Integrating Boosting and Stochastic Attribute Selection Committees for Further Improving the Performance of Decision Tree Learning

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