PSOQLAV Parameter Test

Name: PSOQLAV Parameter Test
Creator: Nauduan, Diego
Published: 2021-12-05T00:00:00+08:00

Figshare2021-12-05 更新2026-04-08 收录

粒子群优化

参数优化

数据链接：

https://figshare.com/articles/dataset/PSOQLAV_Parameter_Test/14999874 数据链接链接失效反馈

官方服务：

资源简介：

Results of testing different parameter configurations on PSO-QLAV, a method for parameter control on PSO algorithms.

提供机构：

Nauduan, Diego

创建时间：

2021-12-05

Metaheuristic parameter tuning dateset

优化算法

参数优化

All thee metaheuristic algorithms (Ant Colony Optimization, Evolutionary Strategy, Imperialist Competitive Algorithm) contain multiple numerical parameters, that can be tuned to increase the efficienc

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TWM Data Files

知识图谱嵌入

参数优化

Data files containing the full outputs of all hyperparameter searches needed for TWM to simulate the KGE model ComplEx on 5 KGs -- CoDExSmall, DBpedia50 OpenEA, Kinships, and UMLS. Data is in a pre-pr

NIAID Data Ecosystem80

Optimized MS/MS settings of purines and related metabolites.

嘌呤代谢物质谱分析

参数优化

Optimized MS/MS settings of purines and related metabolites.

NIAID Data Ecosystem60

ibm-research/rag-hpo-bench

检索增强生成

参数优化

该数据集名为RAG‑HPO Bench，包含了一篇关于检索增强生成（RAG）超参数优化方法分析的论文中的网格搜索结果。数据集涵盖了162种RAG配置在五个RAG QA数据集（AIArxiv、BioASQ、ClapNQ、MiniWiki和WatsonxQA）上的开发和测试分割的输出和评分。数据集还包括了不同配置的详细结果文件，探索的超参数空间（如块大小、块重叠、嵌入模型、Top-k和生成模型），以及

Hugging Face2026-01-19 更新120

Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms

机器学习

参数优化

K-fold cross-validation (CV) is a robust method for estimating generalization performance of supervised learning models. Although CV is more reliable than using a single hold-out test set, it is also

DataCite Commons2025-07-29 更新70

PSOQLAV Parameter Test

资源简介：

相关数据集