Keyphrases
- bayesian networks
- training phase
- learning bayesian networks
- cost function
- loss function
- stochastic gradient descent
- training set
- conditional independence
- inference in bayesian networks
- probabilistic reasoning
- structure learning
- test set
- training samples
- training examples
- random variables
- training process
- hidden variables
- graphical models
- supervised learning
- probability distribution
- probabilistic model
- parameter learning
- pairwise
- support vector
- learning algorithm