Results 291 to 300 of about 47,079 (313)

Hyperparameters Optimization Using GridSearchCV Method for TinyML Models

Lecture Notes in Networks and Systems, 2023
Krzysztof Walkowiak, Tobiasz Puślecki, Walkowiak Krzysztof   +2 more
exaly  

On the use of acquisition function‐based Bayesian optimization method to efficiently tune SVM hyperparameters for structural damage detection

Structural Control and Health Monitoring, 2021
Anand Kumar Agrawal
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

Computer Optimization of ANN Hyperparameters for Retrospective Information Processing

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

Automatic tuning of hyperparameters using Bayesian optimization

Evolving Systems, 2020
G Maragatham
exaly  

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

Profiles in Operations Research, 2022
Ali Khater
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