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PPVs for CIN2+ and CIN3+, by allocation group and referral pathway.

Figshare2017-09-20 更新2026-04-29 收录

数据链接：

https://figshare.com/articles/dataset/PPVs_for_CIN2_and_CIN3_by_allocation_group_and_referral_pathway_/5419654 数据链接链接失效反馈

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资源简介：

PPVs for CIN2+ and CIN3+, by allocation group and referral pathway.

应用场景：

创建时间：

2017-09-20

机器人自主导航

性能评估

Benchmark for Autonomous Robot Navigation (BARN)数据集由德克萨斯大学奥斯汀分校计算机科学系创建，包含300个模拟导航环境，用于评估和比较不同自主移动机器人导航系统的性能。该数据集通过细胞自动机方法生成，涵盖多种难度级别的障碍环境。数据集的创建过程中，使用了多种难度量化指标，并通过学习函数逼近器来综合这些指标，以评估特定环境的导航难度。BARN数据集适

arXiv2020-11-03 更新1150

Average GLAM2 performance on each BAliBASE category.

序列比对

性能评估

The first row indicates the number of alignments in each category. The numbers in parentheses are the lowest and highest values observed in previous tests involving eight methods [37]–[39]. Note that

NIAID Data Ecosystem80

Results of unpaired Welch’s two-sample t -tests comparing shape and color scores between trained and untrained models.

性能评估

视觉特征识别

Results of unpaired Welch’s two-sample t-tests comparing shape and color scores between trained and untrained models.

NIAID Data Ecosystem60

Performance audit report: Driver vehicle system

交通系统审计

性能评估

Performance Audit Report\n\n**Note:** This resource was originally published on opengov.nsw.gov.au. The OpenGov website has been retired. If you have any questions, please contact the Agency Services

Research Data Australia100

Results obtained by the proposed method.

医学诊断分类

性能评估

MD and MMWD correspond to classifications by medical doctors and those by mathematical models with the whole data, respectively (the p-value < 0.001).

NIAID Data Ecosystem60

PPVs for CIN2+ and CIN3+, by allocation group and referral pathway.

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