Results 251 to 260 of about 110,596 (265)

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  

Optimizing the neural network hyperparameters utilizing genetic algorithm

Journal of Zhejiang University: Science A, 2021
Timon Rabczuk, Saeid Nikbakht, Cosmin Anitescu   +2 more
exaly  

Classification of cardiac diseases from ECG signals through bio inspired classifiers with Adam and R-Adam approaches for hyperparameters updation

Measurement: Journal of the International Measurement Confederation, 2022
Harikumar Rajaguru, C Ganesh Babu, M Gowri Shankar   +2 more
exaly  

Physics-Informed LSTM hyperparameters selection for gearbox fault detection

Mechanical Systems and Signal Processing, 2022
Yue Chen, Ming J. Zuo, Ke Feng
exaly  

Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease

Processes, 2023
Mohammed S Alqahtani, Mohamed Abbas
exaly  

How priors of initial hyperparameters affect Gaussian process regression models

Neurocomputing, 2018
Bo Wang, Zexun Chen
exaly  

Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study

Expert Systems With Applications, 2018
Gustavo Lujan-Moreno, Omar Rojas, Douglas C Montgomery   +2 more
exaly  

Information about Hyperparameters in Hierarchical Models

Journal of the American Statistical Association, 1981
Morris H Degroot, Prem K Goel
exaly  

Sparse Bayesian learning using correlated hyperparameters for recovery of block sparse signals

Digital Signal Processing, 2017
Huiping Duan
exaly  

A new hyperparameters optimization method for convolutional neural networks

Pattern Recognition Letters, 2019
exaly