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Updated: Jan 7, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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用高斯的天真贝叶斯和R包RandomGaussianNB进行后期平均化,用于大数据分类

Patchanok Srisuradetchai1

  • 1Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Khlong Luang, Pathum Thani, Thailand.

Frontiers in big data
|December 29, 2025
PubMed
概括

随机GaussianNB R包引入后置平均的高斯天真贝叶斯 (PAV-GNB) 进行可扩展的分类. 这种组合方法提高了高维数据的稳定性和准确性,同时保持了效率.

关键词:
在R包中,R包是R包.启动带集成的集成方法这是分类分类的分类.组合学习组合学习进行概率学校准.

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