Improving the repeatability of deep learning models with Monte Carlo dropout.
Andréanne LemayKatharina HoebelChristopher P. BridgeBrian BefanoSilvia De SanjoséDidem EgemenAna Cecilia RodriguezMark SchiffmanJohn Peter CampbellJayashree Kalpathy-CramerPublished in: npj Digit. Medicine (2022)
Keyphrases
- monte carlo
- learning models
- machine learning
- loss function
- markov chain
- importance sampling
- learning algorithm
- monte carlo simulation
- semi supervised learning
- machine learning algorithms
- classification models
- learning tasks
- conditional random fields
- learning problems
- particle filter
- adaptive sampling
- monte carlo methods
- monte carlo tree search
- markovian decision
- segmentation method
- evolutionary algorithm
- support vector
- similarity measure
- quasi monte carlo