Results 221 to 230 of about 1,862,731 (241)
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How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms

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

Tuning the hyperparameter in ADAM optimizer

Applied Intelligence
A. G. Vigneshwara Raj   +2 more
openaire   +2 more sources

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