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Comparison of absolute errors between numerical methods and proposed method for δ = 2.0.

NIAID Data Ecosystem2026-03-10 收录

数据链接：

https://figshare.com/articles/dataset/Comparison_of_absolute_errors_between_numerical_methods_and_proposed_method_for_2_0_/5805003 数据链接链接失效反馈

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资源简介：

Comparison of absolute errors between numerical methods and proposed method for δ = 2.0.

应用场景：

创建时间：

2018-01-20

算法性能比较

混合模型评估

The symbol “*” implies that pairwise multiple comparisons (post-hoc) test was statistically significant (P-V<0.05). The pairwise multiple comparisons (post-hoc) test results of Holm (the proposed hybr

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Black Tea Fermentation Images Dataset

茶叶发酵监测

算法性能比较

This dataset contains 6000 black tea fermentation images captured in a tea factory in Kenya. The databases should be used only for comparing algorithms, which can be considered as 'fair use' of the im

Mendeley Data2020-04-16 更新20

Comparison with ProMiR .

miRNA成熟位点预测

算法性能比较

Average distance distributions for the Top Scoring candidates provided by MatureBayes (red) and ProMiR (blue) on a common human/mouse blind test set. The set consisted of 301 miRNA precursors which we

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Paired-sample t-test results for the four performance measures between trained tree-based and non-tree-based supervised machine learning algorithms for the 200 datasets considered in this study.

算法性能比较

监督学习算法

Paired-sample t-test results for the four performance measures between trained tree-based and non-tree-based supervised machine learning algorithms for the 200 datasets considered in this study.

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A comparison among TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a very high error rate).

数据错误检测

算法性能比较

A comparison among TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a very high error rate).

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