Constraint-based and hybrid structure learning of multidimensional continuous-time Bayesian network classifiers.
Carlos Villa-BlancoAlessandro BregoliConcha BielzaPedro LarrañagaFabio StellaPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- bayesian network classifiers
- structure learning
- graphical models
- bayesian networks
- parameter learning
- transfer learning
- conditional independence
- markov networks
- parameter estimation
- continuous variables
- sample size
- network structure
- discriminative learning
- probabilistic model
- approximate inference
- support vector
- social networks