Bayesian相关论文
针对视觉传感器获取障碍物深度信息准确率低,单一或少数超声波传感器无法获得大范围场景深度信息,传感器阵列式、全局布局方式体积......
骨质疏松症是一种进行性的骨骼疾病,其特点是骨密度（BMD）低下,且易导致骨脆性增加,骨折风险上升。目前骨质疏松的诊断方法多采用世界......
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A dynamic probabilistic method of service life prediction on reinforced concrete (RC) structures is present based on mul......
Predictions of BuchE inhibitors using support vector machine (SVM) and naive Bayesian classification
Aim: Butyrylcholinesterases (BuChE, EC 3.1.1.8) is emerging as an important pharmacological target in Alzheimers disease......
Many human cancers develop by following many different pathways.These cancers include lung cancer, colon cancer, liver c......
Modern high throughput biotechnologies such as microarray and next generation sequencing produce massive amount of infor......
Extreme value theory is widely used to analyze the catastrophic risk....
With the advancement of high-throughput experimental technologies,false discovery rate(FDR)control has become a standard......
Scalable Bayes for big data is a rapidly growing research area,but most existing methods are either highly complex to im......
Multiple Sclerosis(MS)is an autoimmune disease affecting the central nervous system.The immune system attacks and destro......
The use of Bayesian methods has become essentially important in modern statistical analysis,with applications in numerou......
Nowadays,Adaptive Bayesian Sequential Design(ABSD)has been increasingly applied in various phase Ⅰ and Ⅱ clinical tria......
An Adaptive Bayesian Sequential Design for Determining the Subject-Specific Optimal Treatment Length
While Bayesian adaptive designs have been widely used to find the optimal dose to be used in patients,and to select the ......
The paper takes the data of manufacturing in Shenzhen stock exchange in 2007 as the research sample,adopts the qualitati......
A Bayesian-based approach for extracting the pion charge radius from electron-electron scattering da
In this study,we utilize a potentially versatile Bayesian parameter approach to compute the value of the pion charge rad......
Speech Signal Detection Based on Bayesian Estimation by Observing Air-Conducted Speech under Existen
In order to apply speech recognition systems to actual circumstances such as inspection and maintenance operations in in......
The Discovery of Somatic Single Nucleotide Variations from Cancer Genome Sequencing Data with Increm
Somatic single nucleotide variations(SNV)identification is key for studying cancer genome and evolution.However,prev......
Background: Based on RNA-seq data, currently, there is a lack of satisfactory method for detecting differentially ex......
This paper mainly studies the life cycle reliability analysis of umbilical. After building the failure modes, the li......
Response of Growing Season Gross Primary Production to El Nino in Different Phases of the Pacific De
Gross primary production(GPP) plays a crucial part in the carbon cycle of terrestrial ecosystems.A set of validated mont......
The quality of groundwater resources needs to be assessed and monitored to ensure sustainable use and management.Groundw......
Infliximab is superior to other biological agents for treatment of active ulcerative colitis:A meta-
AIM: To compare the efficacy and safety of biological agents for the treatment of active ulcerative colitis(UC).METHODS:......
构建经济增长质量的评价指标体系，采用熵权法确定基本指标权重测度不同维度经济增长质量指数，进一步构建FAVAR模型并采用Bayesian视......
Various forms of penalized estimators with good statistical and computational properties have been proposed for variable......
水文学风险高度依赖于极端降雨的出现。这个事实在评价和极端的无常分析上导致了大量研究。在大多数情况中，信心间隔(CI ) 被构造代......
Although the dams produce remarkable social and economic benefits, the threat made by unsafe dams to the life and proper......
Hemodynamic response during motor imagery (MI) is studied extensively by functional magnetic resonance imaging (fMRI) te......
Owing to the fact that the conventional deterministic back analysis of the permeability coefficient cannot reflect the u......
Sustained clinical improvement is unlikely without appropriate measuring and reporting techniques. Clinical indicators a......
In order to accurately predict and control the aging process of dams, new information should be collected continuously t......
归并不同证据资源扩展用于信息检索的信念网络是当前一个重要的研究方向。以同义词为证据扩展基本信念网络模型,得到一个扩展的信......
Information fusion diagnosis and early-warning method for monitoring the long-term service safety of
Analyzing the service behavior of high dams and establishing early-warning systems for them have become increasingly imp......
针对水文频率分析过程中因模型选择和数据资料短缺引起分析结果不确定性问题,基于Bayesian MC-MC模型,将史料记载的定性洪水资料应......
Enhanced characterization of solid solitary pulmonary nodules with Bayesian analysis-based computer-
The aim of this study was to prospectively assess the accuracy gain of Bayesian analysis-based computeraided diagnosis(C......
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This paper introduces a new method, E-Bayesian estimation method, to estimate the reliability in zero-failure data. The ......
Seismic inversion performed in the time or frequency domain cannot always recover the long-wavelength background of subs......
Objective To study resistance evolution pathway of HIV-1 CRF_BC under drug selection pressure,and compare it with B subt......
To preserve the sharp features and details of the synthetic aperture radar(SAR)image effectively when despeckling,a desp......
No.1PaPersA Closed一FOrm Wideband Direetion一of-Arrival Estimation with ChirPlet一Based AdaPtive Signal DeeomPosition Al......
As a new method for dealing with any nonlinear or non-Gaussian distributions, based on the Monte Carlo methods and Bayes......
An improved interacting multiple models particle filter (IMM-PF) algorithm is proposed for multi-measurement nonlinear s......
To precisely determine the integrated orbit of the Chinese manned spacecraft mission,a smoother and Bayesian filter base......
Extended Kalman filter (EKF) is one of the most widely used methods for nonlinear system estimation. A new filtering alg......
Study on correlations of modal frequencies and environmental factors for a suspension bridge based o
By using of long-term monitoring data of Runyang Suspension Bridge,the improved back-propagation neural networks (BPNNs)......
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A marginalized particle filtering (MPF) approach is proposed for target tracking under the background of passive measure......
