Results 21 to 30 of about 1,576 (163)
Objective assessment of communication speech interference effect based on feature fusion [PDF]
, 2023 In view of the objective assessment problem of the effect of communication speech interference, methods based on multi-measurements and multimodal fusion were proposed.First, the interfered speech was preprocessed by the endpoint detection algorithm and ...
Huaitao XU +4 more
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Random Forest Algrithom for Computer-Aided Alzheimer's Disease Diagnosis [PDF]
, 2016 阿尔茨海默症（AD）是世界上最常见的疾病之一。它是一种神经退行性疾病，会使得患者的认知功能出现障碍，记忆力衰退。至目前为止，对其尚未有有效地知了手段。也因此，AD的早期诊断是一个非常重要的研究领域，它吸引了许多研究人员参与到其中来寻找新的有效的诊断方法。 在本文中，我们主要通过随机森林算法，使用被试的MRI图像数据，对其是否可能患有AD病的进行诊断。随机森林算法能够从MRI的高维数据中学习到其低维特征和低维表达，我们使用随机森林算法对AD和正常对照组（NC），AD和轻度认知障碍患者（MCI ...
GAKIZA CANISIUS
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Adaptive feature selection method for action recognition of human body in RGBD data [PDF]
, 2017 目前在RGBD视频的行为识别中,为了提高识别准确率,许多方法采用多特征融合的方式。通过实验分析发现,行为在特定特征上的分类效果好,但是多特征融合; 并不能体现个别特征的分类优势,同时融合后的特征维度很高,时空开销大。为了解决这个问题,提出了; RGBD人体行为识别中的自适应特征选择方法,通过随机森林和信息熵分析人体关节点判别力,以高判别力的人体关节点的数量作为特征选择的标准。通过该数量; 阈值的筛选,选择关节点特征或者关节点相对位置作为行为识别特征。实验结果表明,该方法相比于特征融合的算法 ...
张洪博, 李绍滋, 黄敏, 龚冬颖
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Veterinary Dermatology, Volume 37, Issue 2, Page 236-246, April 2026.Canine atopic dermatitis (cAD) is a chronic condition requiring life‐long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. This study aimed to generate a simple diagnostic model for cAD. This model is a relevant prototype for an app‐based tool to support general practitioners in the diagnosis of cAD alongside ...
Xavier Langon +2 more
wiley +1 more source
Outlier detection based on random forest [PDF]
, 2007 摘要: 提出一种基于随机森林方法的异常样本 (outliers)检测方法。仿真实验表明 ,与其他 2种基于 距离的异常样本检测技术相比 ,这种方法可以更好地提高模型的准确率 ,且具有较强的鲁棒性 ,在处 理大规模数据集时还能显著地减少计算时间。Abstract: It intr oduces an outliers detecti on method based on random forest . Compared with the other t wo common outliers detecti
林成德, 邱一卉
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Improved Deep Learning Model for Forecasting Short-Term Load Based on Random Forest Algorithm and Rough Set Theory [PDF]
, 2023 Accurate power load forecasting is conducive to ensuring the safe and economic operation of the power system. Aiming at the problems of low prediction accuracy and long time consuming of the current prediction algorithms, an improved deep learning (DL ...
FENG Jiahuan +6 more
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Food and Energy Security, Volume 15, Issue 2, March/April 2026.ABSTRACT Net photosynthetic rate (Pn) serves as a key indicator for evaluating plant growth and yield. In order to explore an effective method for monitoring winter rapeseed Pn using unmanned aerial vehicle (UAV) multispectral technology, the winter rapeseed was taken as the research object and the multispectral images were obtained through UAVs in ...
ChengYang Ni +7 more
wiley +1 more source
Research of Biological Macromolecule Sequence Prediction Method Based on Multi-Information Fusion [PDF]
, 2016 随着测序技术的发展，生物大分子序列数量快速积累，迫切需要了解序列所蕴含的重要生命信息。近年来，生物大分子序列的结构与功能研究已经成为生物信息学领域研究的热点问题。目前，基于生物大分子序列和机器学习模型的方法是生物信息学领域中预测序列结构和功能的重要研究手段。本文从如何构建有效的序列向量化方法、分类算法、以及高质量数据集角度出发，对生物大分子序列预测的几个具体问题进行了深入研究，包括蛋白质结构类预测、蛋白质折叠模式类预测、细胞因子与受体相互作用预测、细胞穿透肽预测、以及microRNA前体预测 ...
魏乐义
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Integrative Conservation, Volume 5, Issue 1, Page 150-163, March 2026.Our research allows us to understand the predictors of extinction risk in traditional Chinese medicinal (TCM) plant species with known threat status, and incorporate this knowledge to predict other TCM plants with unknown conservation status in China so as to improve the overall effectiveness of conservation strategies.
Yuhan Zheng +4 more
wiley +1 more source
, 2010 提出一种基于量子粒子群和随机森林封装的特征选择方法。将量子粒子群算法用于特征选择,优化特征子集,采用随机森林分类器评价特征子集的性能,指导特征子集更新 ...
杨明旭, 洪文财, 米红
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