Hyperparameters Optimization of Deep Learning Models for Unsupervised Lung Cancer Detection.
Najeh NaftiOlfa BesbesAsma Ben AbdallahMohamed Hedi BedouiPublished in: CW (2023)
Keyphrases
- learning models
- cancer detection
- hyperparameters
- model selection
- cross validation
- machine learning
- loss function
- semi supervised learning
- bayesian inference
- learning algorithm
- support vector
- closed form
- bayesian framework
- learning tasks
- em algorithm
- unsupervised learning
- semi supervised
- random sampling
- machine learning algorithms
- sample size
- prostate cancer
- maximum likelihood
- conditional random fields
- prior information
- classification models
- learning problems
- higher order
- training data
- supervised learning
- learning environment
- decision trees
- e learning
- computer vision
- similarity measure
- prior knowledge