Statistical performance of Ls-AOA for SDM, DDM and TDM.

NIAID Data Ecosystem2026-05-02 收录

无线通信多路复用

算法评估

数据链接：

https://figshare.com/articles/dataset/Statistical_performance_of_Ls-AOA_for_SDM_DDM_and_TDM_/26398068 数据链接链接失效反馈

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资源简介：

Statistical performance of Ls-AOA for SDM, DDM and TDM.

创建时间：

2024-07-29

cchoi1/humaneval_qwen7b_att_iter0_ppo_att50_sol10

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编程任务

该数据集包含了与某种任务相关的突变信息，每个样本都包括一个唯一的mutation_id，以及与任务相关的task_id。此外，还包含了用于突变的提示(mutator_prompt)、用于解决问题的提示(solver_prompt)、响应(response)、关于突变的详细信息(mutation_info)、突变者得分(mutator_score)、解决方案评分(solution_scores)、解

Hugging Face2025-04-02 更新30

Summary statistics (mean±S.D.) of the performance indicators of the Multi-BP-AdaBoost algorithm for all behavior categories.

行为分类算法

算法评估

Summary statistics (mean±S.D.) of the performance indicators of the Multi-BP-AdaBoost algorithm for all behavior categories.

NIAID Data Ecosystem20

Experimental results of matching the detected sets of protein complexes by our proposed framework against the CYC2008 reference catalogue in comparison to ProRank, ProRank+, ClusterONE, CMC, MCODE and CFinder.

蛋白质复合物检测

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Figshare2016-02-23 更新00

IEEEXtreme 13: Game Over

编程竞赛算法

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This dataset contains a total of 870 submissions, with 0% correct solutions and 0% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/feedback-challenge-

DataCite Commons2024-02-29 更新20

A Benchmark for 3D Interest Point Detection Algorithms

三维兴趣点检测

算法评估

This benchmark aims to provide tools to evaluate 3D Interest Point Detection Algorithms with respect to human generated ground truth. Using a web-based subjective...

data.gov10

Statistical performance of Ls-AOA for SDM, DDM and TDM.

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