Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles.
Remus PopPatric FulopPublished in: CoRR (2018)
Keyphrases
- monte carlo
- active learning
- ensemble methods
- ensemble learning
- monte carlo methods
- neural network ensemble
- ensemble members
- classifier ensemble
- ensemble selection
- random forests
- base classifiers
- markov chain
- monte carlo simulation
- ensemble classifier
- weighted voting
- importance sampling
- learning algorithm
- generalization error
- decision trees
- monte carlo tree search
- markov chain monte carlo
- markovian decision
- imbalanced data
- stochastic approximation
- training set
- monte carlo method
- adaptive sampling
- prediction accuracy
- machine learning
- maximum likelihood
- training data
- stratified sampling
- random sampling
- supervised learning
- bayesian networks
- optimal strategy
- feature selection
- point processes