RandomForest相关论文
客观来说,房价受到诸多因素的制约,正因如此,房价预测仍然是数据分析中一个非常经典且具有挑战性的问题.本文针对房价数据冗余,在......
随着中国经济由高速度增长阶段向高质量发展阶段转变,消费正在逐步代替出口和投资成为拉动经济增长的新的动力。在这样一个新的发......
Background and Aims: With high rates of recurrence post-treatment, hepatocellular carcinoma (HCC) is one of the most com......
The drug formulation design of self-emulsifying drug delivery systems(SEDDS)often re-quires numerous experiments,which a......
Impacts of anthropogenic and biophysical factors on ecological land using logistic regression and ra
Ecological land is an important guarantee to maintain urban ecological security and sustainable development.Although inc......
GIS-based spatial prediction of landslide using road factors and random forest for Sichuan-Tibet Hig
Accurate evaluation of landslide susceptibility is very important to ensure the safe operation of mountain highways.The ......
Death after discharge: prognostic model of 1-year mortality in traumatic brain injury patients under
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Identifying the association between metabolites and diseases will help us understand the pathogenesis of diseases,which ......
Spatiotemporal variation and hotspots of climate change in the Yangtze River Watershed during 1958-2
The Yangtze River Watershed in China is a climate change hotspot featuring strong spatial and temporal variability;hence......
Modeling metallurgical responses of coal Tri-Flo separators by a novel BNN:a “Conscious-Lab” develop
Tri-flo cyclone,as a dense-medium separation device,is one of the most typical environmentally friendly industrial techn......
Aiming at the poor location accuracy caused by the harsh and complex underground environment,long strip roadway,limited ......
本文针对银行客户,提出一种基于RandomForest的银行客户分类模型,通过基于RandomForest的分类方法对银行客户已存在数据进行处理,......
期刊
目的 建立精度更高,适用性更广的岩爆预测模型,提高岩爆预测工作效率,得到最优的岩爆预测评价指标组合,解决岩爆样本数据不均衡、......
The North China district has been subjected to significant research with regard to the ore-forming dynamics,processes,an......
Combining Landsat-8 spectral bands with ancillary variables for land cover classification in mountai
Landsat-8 spectral values have been used to map the earth\'s surface information for decades.However,forest types and ......
A newly developed approach to estimate aboveground autotrophic respiration in global forest ecosyste
Aboveground autotrophic respiration(AAR)is one of the most important but least understood components in global forest ca......
Pedestrianscrossing behavior at intersections is one of the most important causes for pedestrian involved traffic crashe......
In order to solve the tedious and time-consuming works for CT scan planning manually,we proposed an automatic detection ......
Environmental audio classification has been the focus in the field of speech recognition.Random forest is a powerful mac......
This paper prop()ses a block-based selection random forest (BBSRF) for texture classification task using multi-fractal s......
Background: Nucleus acid-protein interaction plays important role in various biological processes.Therefore, identify th......
Background: Population structure (PS), including population stratification and admixture, is a significant confounder in......
Screening Priority Factors Determining and Predicting the Reproductive Toxicity of Various Nanoparti
Due to the numerous factors(e.g.,nanoparticle [NP] properties and experimental conditions)influencing nanotoxicity,it is......
In silico prediction of deleterious single amino acid polymorphisms of proteins from amino acid sequ
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Genome-scale screening of drug-target associations relevant to Ki binding affinity using a chemogeno
The identification of interactions between drugs and target proteins plays a key role in the process of genomic drug dis......
Machine Learning for Classification of Bioactivity and Clustering of Structure on Cyclooxygenase-2 I
Cyclooxygenase-2(COX-2)is an inducible form of the COX enzyme,and is an important target of Nonsteroidal Anti-Inflammato......
Predicting binding affinity of compound-protein interactions on a proteome scale by random forest us
Identification of interactions between compounds and target proteins is of extraordinary significance to modern pharmaco......
Estimate Variable Importance for Recurrent Event Outcomes with an Application to Identify Hypoglycem
Recurrent event data are important data type for medical research.In particular,many safety endpoints are recurrent outc......
SPATIOTEMPORAL PATTERN OF PRECIPITATION CONCENTRATION AND ITS POSSIBLE CAUSES IN THE PEARL RIVER BAS
Spatiotemporal pattern of precipitation concentration is a key factor for realizing regional floods and droughts.Extreme......
为了有效地对图像序列进行面部表情识别,提出一种基于主动形状模型(active shape model,ASM)结合Lucas-Kanade(LK)光流法的方法提......
针对雷达微动手势识别中的回波信噪比低、数据量大、特征可解释性差的问题,提出了一种基于随机森林的超宽带雷达微动手势识别系统......
提出了一种结合深度神经网络和随机森林的手掌静脉分类新方法。利用预训练深度神经网络模型AlexNet提取掌脉特征,采用主成分分析法......
为了更加精确地分析土壤光谱中不同水分吸收带内的光谱吸收特征参数在估测土壤水分含量(SMC)中的重要性,以新疆渭干河-库车河绿洲......
河流是遥感图像中一种非常典型且重要的地理目标,对河流的自动检测在水资源调查及水利规划等方面有重大意义。在此提出了一种基于......
点云分类是机载LiDAR点云应用于城市建模、道路提取等的重要阶段。虽然点云分类的方法有很多,但依然存在如多维特征向量信息冗余、......
Traditionally, optical microscopy is used to visualize the morphological features of pathogenic bacteria, of which the f......
云顶的光学和微观物理特征是基于卫星光谱定量反演降水强度的关键信息。基于1998-2007年江淮梅雨期内热带测雨卫星的光谱和雷达融......
Infestation risk of the intermediate snail host of Schistosoma japonicum in the Yangtze River Basin:
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Changes in the Urban Surface Thermal Environment of a Chinese Coastal City Revealed by Downscaling M
Analysis of the formation and evolution of urban surface thermal environment is crucial for urban planning and improving......
In order to improve the accuracy of hail forecasting for mountainous and plateau areas in China, this study presents a n......
目的探讨人工智能算法模型在创伤患者下肢静脉血栓栓塞症（VTE）诊断中的预测效能。方法回顾性收集1992年12月至2017年11月中国人民解......
Comparison of different sampling strategies for debris flow susceptibility mapping:A case study usin
The quality of debris flow susceptibility mapping varies with sampling strategies.This paper aims at comparing three sam......
A novel strategy for quantitative analysis of soil pH using laser-induced breakdown spectroscopy cou
pH is one of significant properties of soil,and is closely related to the decomposition of soil organic matter,anion......
As a kind of post-translational modifications,hydroxylation drew less attention than other modifications,like phosph......
Background Heart disease diagnosis is an important issue in the world.It has great significance to study the method ......
Recent outbreaks of highly pathogenic and occasional drug-resistant influenza strains have highlighted the need to d......
Systematically analyze and select key features to microRNA precursors identification based on random
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