Radiogenomic Prediction of MGMT Using Deep Learning with Bayesian Optimized Hyperparameters.
Walia FarzanaAhmed G. TemtamZeina A. ShboulMd Monibor RahmanM. Shibly SadiqueKhan M. IftekharuddinPublished in: BrainLes@MICCAI (2) (2021)
Keyphrases
- deep learning
- hyperparameters
- posterior distribution
- bayesian inference
- model selection
- gaussian processes
- maximum likelihood
- unsupervised learning
- cross validation
- bayesian framework
- closed form
- gaussian process
- prior information
- support vector
- machine learning
- random sampling
- noise level
- sample size
- maximum a posteriori
- incremental learning
- incomplete data
- em algorithm
- image processing
- mental models
- weakly supervised
- probabilistic model
- bayesian networks
- data sets
- parameter settings
- pairwise
- edge detection
- markov random field
- text classification