Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks.
Cristián SerpellIgnacio A. ArayaCarlos ValleHéctor AllendePublished in: CIARP (2019)
Keyphrases
- monte carlo
- neural network
- markov chain
- monte carlo simulation
- importance sampling
- artificial neural networks
- stochastic approximation
- monte carlo methods
- generative model
- markovian decision
- particle filter
- monte carlo tree search
- bayesian networks
- monte carlo method
- simulation study
- back propagation
- global illumination
- adaptive sampling
- neural network model
- prediction model
- posterior probability
- short term
- probabilistic model
- associative memory
- temporal difference
- state space
- matrix inversion
- active learning
- search space
- learning algorithm
- point processes
- machine learning