Results 241 to 250 of about 43,032 (264)

Optimization and application of the distribution of relaxation times based on characteristic frequency resolution and hyperparameters

Journal of Power Sources, 2022
Tiancai Ma, Yanbo Yang, Dong Zhu
exaly  

Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning

Communications in Computer and Information Science, 2023
Mohamed Hamlich, Adeel Ahmad, Bouneffa Mourad   +2 more
exaly  

Hyperparameter Optimization

2022
openaire   +1 more source

How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms

Artificial Intelligence Review, 2021
Jacques Wainer, Pablo Fonseca, Wainer Jacques   +2 more
exaly  

Computer Optimization of ANN Hyperparameters for Retrospective Information Processing

Lecture Notes in Networks and Systems, 2022
Aleksey F Rogachev, Elena Melikhova
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  

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
Zakariya Algamal, Omar Saber Qasim
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