首页/数据集/Default vs adjusted parameters of MATALB FP registration routines.

Default vs adjusted parameters of MATALB FP registration routines.

NIAID Data Ecosystem2026-03-11 收录

数据链接：

https://figshare.com/articles/dataset/Default_vs_adjusted_parameters_of_MATALB_FP_registration_routines_/9920555 数据链接链接失效反馈

官方服务：

资源简介：

Default vs adjusted parameters of MATALB FP registration routines.

应用场景：

创建时间：

2019-09-30

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

Hyperparameter values of the machine learning methods optimized with respect to the area under the precision-recall curve.

参数优化

不平衡分类

(XLSX)

NIAID Data Ecosystem60

Pixel intensity statistics after running background subtraction algorithm with variable window sizes.

背景减法算法

参数优化

The window size in FRET-IBRA defines the number of tiles the image width should be divided into, i.e., for a 640x480 pixel image, a window size set at 40 results in 40 windows along the width and 30 w

NIAID Data Ecosystem40

Hyperparameter optimization using 10-fold grid search CV for the filtered LMCH data dynamics using a 70:30 partition with feature selection.

参数优化

网格搜索交叉验证

Hyperparameter optimization using 10-fold grid search CV for the filtered LMCH data dynamics using a 70:30 partition with feature selection.

Figshare2024-05-16 更新70

HOAX: a hyperparameter optimisation algorithm explorer for neural networks

神经网络

参数优化

Computational chemistry has become an important tool to predict and understand molecular properties and reactions. Even though recent years have seen a significant growth in new algorithms and computa

DataCite Commons2023-02-03 更新50

Default vs adjusted parameters of MATALB FP registration routines.

资源简介：

相关数据集