Results 281 to 290 of about 1,858,266 (298)

Hyperparameter Optimization

2022
openaire   +1 more source

Automatic tuning of hyperparameters using Bayesian optimization

Evolving Systems, 2020
G Maragatham
exaly  

Hyperparameters optimization of convolutional neural network based on local autonomous competition harmony search algorithm

Journal of Computational Design and Engineering, 2023
Haibin Ouyang, Chunliang Zhang, Steven Li   +2 more
exaly  

Efficient hyperparameters optimization through model-based reinforcement learning with experience exploiting and meta-learning

Soft Computing, 2023
Jia Wu
exaly  

Advancing hyperparameter optimization

Hyperparameter optimization (HPO) is a fundamental aspect of machine learning (ML), directly influencing model performance and adaptability. As a computationally expensive black-box optimization problem, HPO requires efficient algorithms to identify optimal hyperparameter configurations.
openaire   +1 more source

Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning

Journal of Chemometrics, 2020
Zakariya Algamal, Omar Saber Qasim
exaly  

Tuning the hyperparameter in ADAM optimizer

Applied Intelligence
A. G. Vigneshwara Raj, Punniyamoorthy Murugesan, Nanmaran M   +2 more
openaire   +2 more sources

Enhancement: SiamFC Tracker Algorithm Performance Based on Convolutional Hyperparameters Optimization and Low Pass Filter

Mathematics, 2022
exaly  

Hyperparameters Optimization of Deep Convolutional Neural Network for Detecting COVID-19 Using Differential Evolution

Profiles in Operations Research, 2022
exaly  

DC–DC​ circuit fault diagnosis based on GWO optimization of 1DCNN-GRU network hyperparameters

Energy Reports, 2023
exaly