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