Gaussian process regression-based learning rate optimization in convolutional neural networks for medical images classification.
Yuanyuan LiQianqian ZhangSang Won YoonPublished in: Expert Syst. Appl. (2021)
Keyphrases
- medical images
- gaussian process
- learning rate
- model selection
- gaussian processes
- medical imaging
- hyperparameters
- regression model
- convolutional neural networks
- learning algorithm
- bayesian framework
- latent variables
- machine learning
- incremental learning
- convergence rate
- semi supervised
- support vector
- convergence speed
- optimization algorithm
- supervised learning
- global optimization
- image classification
- feature selection
- cross validation
- particle swarm optimization
- sample size
- feature vectors
- feature space