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COVID19 dataset for training and validation of Bayes network model

Mendeley Data2020-10-30 更新2026-04-09 收录

COVID-19预测

贝叶斯网络

数据链接：

https://data.mendeley.com/datasets/z4ktvcwfp6/1 数据链接链接失效反馈

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资源简介：

Symptomatic and asymptomatic samples for training and validating COVID19 prediction model

用于训练与验证新型冠状病毒肺炎（COVID19）预测模型的有症状与无症状样本

应用场景：

创建时间：

2020-10-30

贝叶斯网络

MCMC算法

Acyclic digraphs are the underlying representation of Bayesian networks, a widely used class of probabilistic graphical models. Learning the underlying graph from data is a way of gaining insights abo

Mendeley Data2024-06-25 更新120

Supplemental Files.zip

诊断分类

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Supplemental files associated with the article entitled "Using Diagnostic Classification Models to Validate Attribute Hierarchies and Evaluate Model Fit in Bayesian Networks"

DataCite Commons2020-08-28 更新60

Milk microfiltration operation experimental data annotated from the scientific litterature including controlled parameters

牛奶微滤

贝叶斯网络

This dataset comprises 934 milk microfiltration operation experimental data annotated from the scientific litterature including controlled parameters (Volume Reduction factor, VRF, Transmembrane Press

DataCite Commons2025-04-25 更新40

A Bayesian Network approach for conducting an Uncertainty Analysis of Energy Systems Models

贝叶斯网络

能源系统模型

This folder contains three files, each of which contains a Bayesian Network that can be opened and explored using SAMIAM. SAMIAM is a free program that is available to download from http://reasoning.c

DataCite Commons2025-04-01 更新80

Inference results of Boolean network (Best-Fit with optimal discretization k-means and maxK = 2), Dynamic Bayesian Network (with least squares estimation, and default parameters alpha1 = 0.5 and alpha2 = 0.05 for first order dependencies and full dependencies correspondingly) and Boolean Function Network (maxTimeDelay = 10 and p1 = 0.005).

布尔网络

贝叶斯网络

NIAID Data Ecosystem40