Hyperparameter optimization for classification models.

NIAID Data Ecosystem2026-03-13 收录

参数优化

模型优化

数据链接：

https://figshare.com/articles/dataset/Hyperparameter_optimization_for_classification_models_/17942969 数据链接链接失效反馈

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资源简介：

Hyperparameter optimization for classification models.

创建时间：

2022-01-06

Medians for accuracy, sensitivity, and specificity for selected combinations of algorithm parameters.

可穿戴加速度计数据分析

参数优化

The development group medians are reported for Receiver Operating Characteristic (ROC) procedures for waist-worn and wrist-worn accelerometry data. Optimal combinations are shown in bold.

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Hyperparameter space for random search.

参数优化

随机搜索

Hyperparameter space for random search.

NIAID Data Ecosystem40

Baseline parameters and values tested during parameter sweeps. For the finer-grid parameter sweep, deactivation time and stiffness values were varied over the same range below, in 0.6 ms and 0.005 unit increments respectively, while all other values were held at baseline.

参数优化

生物力学模拟

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Range over which the parameters are varied in iterations to calibrate the model for multicellular tumor spheroid growth.

生长动力学建模

参数优化

Latin hypercube sampling is used to generate 100 sets of parameter values within the specified minimum an maximum values. The model was simulated 100 times with different combinations of parameter val

Figshare2019-06-11 更新40

The effect of different α and different partitions on ucf-101 about accuracy.

动作识别

参数优化

The effect of different α and different partitions on ucf-101 about accuracy.

Figshare2022-08-01 更新10