Results 41 to 50 of about 1,549 (163)
Trestle Random Forest Based on Multiple Randomness and Privacy Protection [PDF]
As an effective ensemble learning algorithm for classification and regression tasks， the random forest （RF） also faces challenges in improving generalization ability and privacy protection.
SONG Yilin, WANG Shitong
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Functional Ecology, Volume 39, Issue 6, Page 1550-1566, June 2025.Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests store substantial amounts of soil organic carbon (SOC), but SOC stocks differ strongly between forest ecosystems dominated by arbuscular mycorrhizal (AM) or ectomycorrhizal (EcM) fungi.
Mengxu Zhang +10 more
wiley +1 more source
Research on Methods of Feature Representation for Human Action recognition in RGBD Video [PDF]
, 2017 人体行为识别是计算机视觉的前沿研究课题，可应用在智能视频监控、人体行为分析和视频检索等领域中。近年来RGBD视频的出现为人体行为识别带来了新的机遇和挑战。在系统梳理RGBD视频的人体行为识别技术基础上，本文发现目前的研究存在如下问题：特征维度高、缺乏判别力部位分析、深度学习网络缺乏可解释性、特征融合难。因此本文分别针对上述问题，围绕着如何有效表示人体的动作特征展开研究，具体的研究内容和创新点如下： 1、针对特征维度高和缺乏语义解释的问题，提出了一种基于随机森林袋外估计的判别力部位挖掘方法 ...
黄敏
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Effectiveness of protected areas in the Caucasus Mountains in preventing rangeland degradation
Conservation Biology, Volume 39, Issue 3, June 2025.Abstract As land use intensifies globally, it increasingly exerts pressure on protected areas. Despite open, nonforested landscapes comprising up to 40% of protected areas globally, assessments have predominately focused on forests, overlooking the major pressures on rangelands from livestock overgrazing and land conversion.
Arash Ghoddousi +12 more
wiley +1 more source
Random Forests for Image Classification and Semantic Segmentation [PDF]
, 2012 随着网络的普及和多媒体技术的发展，目标识别技术已成为近年来需求和研究的热点。基于随机森林的目标识别方法在计算机视觉中是一类较新的方法，该类方法能够有效的处理大数据集，具有精确度高、鲁棒性强、易于实现、计算速度快等特点。然而，国内在该类方法上的研究仍较为空白，尚未出现总结性的文章。因此，研究基于随机森林的目标识别方法的工作，不仅对计算机视觉，模式识别等领域有一定的价值，而且希望能够对国内在该类方法的发展能够起到抛砖引玉的作用。 本文关注于目标识别任务中的图像分类和语义分割 ...
赵自明
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China's Eco‐Civilisation, Climate Leviathan, and Hobbesian Energy Transition
Antipode, Volume 57, Issue 3, Page 830-861, May 2025.Abstract Scholars have hitherto tended to theorise China's ecological civilisation project either as a form of environmental authoritarianism or as a vision of eco‐socialism. This paper contributes to the conversation by conducting a textual analysis of Chinese scholarly discussions on eco‐civilisation.
David Chen
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Valve Leakage Mode Recognition Method Based on Empirical Mode Decomposition and Random Forest [PDF]
As a critical equipment in nuclear power plants, valve leakage would have an impact on system safety and stable operation. Using acoustic emission technology to identify valve leakage and distinguish between different leakage modes of internal and ...
ZHE Na1, , LIU Shiwen1, 2, HE Pan1, ZHENG Hua1, WANG Liangzi1
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Establishment of Mathematical Models for Skeletal Age Determination of Extremitas Sternalis of Clavicle in Shanxi Adolescents [PDF]
, 2020 Objective To develop mathematical models for skeletal age determination with multiple statistic method based on the correlation between age and the growth of the epiphysis of extremitas sternalis of clavicle in Shanxi adolescents.
ZHANG Hua-hua , ZHAO Chen , LIU Hu-yue , et al.
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Integrative Conservation, Volume 4, Issue 1, Page 71-84, March 2025.Gaoligong Mountain is home to a large number of rare and endangered species, but the effectiveness of conservation measures in the Gaoligong Mountain Nature Reserve remains uncertain. We predicted the potential distribution areas of 361 rare and endangered wild plants in southern Gaoligong Mountain under current and future climate change scenarios and ...
Yong‐Jing‐Wen Yang +3 more
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Dizhen xuebao针对现有的基于实际震害评估的大多研究仅限于某特定区域和某种结构类型，且所采用的数据样本量也十分有限，本文基于随机森林模型，采用2011年3月11日东日本MW9.0地震的37万8 037条建筑物实际震害数据，利用美国应用技术协会发布的地震震害等级划分标准（ATC-13）预测了建筑物地震破坏所引起的损失，对建筑物损失的影响因素进行了特征重要性分析。结果显示：通过合成少数类过采样技术（SMOTE）解决数据不均衡和贝叶斯优化超参数之后，得到了基于随机森林的预测模型测试集的准确率为68.8%，轻微破坏、中等破坏 ...
Zihao Liang +3 more
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