On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach.
Kai FabiJonas SchneiderPublished in: CoRR (2020)
Keyphrases
- monte carlo
- feature relevance
- feature selection
- importance sampling
- markov chain
- adaptive sampling
- monte carlo simulation
- typical testors
- markov chain monte carlo
- markovian decision
- feature weighting
- confidence intervals
- particle filter
- monte carlo tree search
- variance reduction
- monte carlo methods
- active learning
- learning algorithm
- information retrieval
- machine learning