Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks.
Xuhui FanBin LiYaqiong LiScott A. SissonPublished in: ICML (2021)
Keyphrases
- belief networks
- probabilistic inference
- bayesian belief networks
- probabilistic reasoning
- probability distribution
- conditional probabilities
- graphical models
- genetic algorithm
- evolutionary algorithm
- exact inference
- stochastic simulation
- belief nets
- graphical representation
- machine learning
- search procedure
- multilayer perceptron
- belief propagation
- neural network
- random variables
- support vector
- feature extraction
- inference in belief networks