A Markov Blanket Based Strategy to Optimize the Induction of Bayesian Classifiers When Using Conditional Independence Learning Algorithms.
Sebastian D. C. de O. GalvãoEstevam R. Hruschka Jr.Published in: DaWaK (2007)
Keyphrases
- conditional independence
- markov blanket
- bayesian network classifiers
- bayesian networks
- structure learning
- learning algorithm
- graphical models
- continuous domains
- random variables
- bayesian network structure
- probability distribution
- causal discovery
- causal models
- machine learning
- directed acyclic graph
- bayesian classifier
- approximate inference
- training data
- machine learning algorithms
- naive bayes
- probabilistic inference
- support vector machine
- benchmark data sets
- supervised learning
- probabilistic model
- pairwise
- reinforcement learning