Structure Learning for Relational Logistic Regression: An Ensemble Approach.
Nandini RamananGautam KunapuliTushar KhotBahare FatemiSeyed Mehran KazemiDavid PooleKristian KerstingSriraam NatarajanPublished in: CoRR (2018)
Keyphrases
- logistic regression
- structure learning
- bayesian networks
- graphical models
- markov logic networks
- conditional independence
- naive bayes
- decision trees
- parameter learning
- support vector
- transfer learning
- bayesian network classifiers
- markov networks
- network structure
- parameter estimation
- neural network
- belief propagation
- conditional probabilities
- sample size
- loss function
- model selection
- probabilistic model
- probability distribution