Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks.
Irene Córdoba-SánchezEduardo C. Garrido-MerchánDaniel Hernández-LobatoConcha BielzaPedro LarrañagaPublished in: CoRR (2018)
Keyphrases
- learning algorithm
- bayesian networks
- optimization algorithm
- k means
- bayesian network structure
- optimization method
- computational complexity
- learning process
- prior knowledge
- expectation maximization
- detection algorithm
- maximum likelihood
- posterior probability
- simulated annealing
- optimization process
- probability distribution
- learning phase
- dynamic programming
- stochastic gradient descent
- stochastic gradient
- objective function
- markov blanket
- linear computational complexity
- segmentation algorithm
- optimization problems
- worst case
- probabilistic model
- cost function
- active learning
- optimal solution
- reinforcement learning
- image segmentation