Results 191 to 200 of about 47,583 (209)

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

Journal of Computational Design and Engineering, 2023
Dongmei Liu, Haibin Ouyang, Steven Li
exaly  

Automatic tuning of hyperparameters using Bayesian optimization

Evolving Systems, 2020
G Maragatham
exaly  

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

Soft Computing, 2023
Jia Wu
exaly  

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
Omar Saber Qasim, Zakariya Yahya Algamal
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

Dynamic Fidelity Selection for Hyperparameter Optimization

Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Shintaro Takenaga, Yoshihiko Ozaki, Masaki Onishi   +2 more
openaire   +1 more source

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

Mathematics, 2022
exaly  

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

Energy Reports, 2023
exaly  

Tuning the hyperparameter in ADAM optimizer

Applied Intelligence
A. G. Vigneshwara Raj, Punniyamoorthy Murugesan, Nanmaran M   +2 more
openaire   +1 more source

Hyperparameter Optimization

2017
openaire   +1 more source