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Multi-fidelity tabular data for XGBoost hyperparameter space for HPOBench
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2022-05-30
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Appendix D. An account of the immune-inspired algorithm used in the systematic search of the model parameter spaces for alternative stable states.
An account of the immune-inspired algorithm used in the systematic search of the model parameter spaces for alternative stable states.
DataCite Commons2020-09-03 更新100
Bayesian Optimization for Branching and Nested Hyperparameters in Deep Learning
Hyperparameter optimization plays a crucial role in the success of neural networks as hyperparameters directly control the behavior and performance of the training algorithms. To obtain efficient tuni
Figshare2026-02-20 更新50
Pixel intensity statistics after running background subtraction algorithm with variable window sizes.
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.
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
Hyperparameter search results summary (Run 6).
Top 5 Models out of 250 candidate models from Run 6.
Figshare2021-09-24 更新40
