Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling.
Mostafa Mehdipour-GhaziMads NielsenAkshay PaiM. Jorge CardosoMarc ModatSébastien OurselinLauge SørensenPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- incomplete data
- echo state networks
- recurrent networks
- neural network
- missing data
- mathematical modeling
- pattern recognition
- bayesian networks
- missing values
- feed forward
- data mining
- fuzzy logic
- em algorithm
- training set
- x ray
- artificial neural networks
- mathematical model
- hyperparameters
- disease progression
- artificial intelligence