Deep Transfer as Structure Learning in Markov Logic Networks.
David Andrew MooreAndrea Pohoreckyj DanylukPublished in: Statistical Relational Artificial Intelligence (2010)
Keyphrases
- structure learning
- markov logic networks
- transfer learning
- bayesian networks
- graphical models
- conditional independence
- statistical relational learning
- parameter learning
- parameter estimation
- machine learning
- text categorization
- first order logic
- markov networks
- active learning
- belief propagation
- probabilistic reasoning
- network structure
- random variables
- text mining
- probabilistic inference
- approximate inference
- collaborative filtering
- least squares
- probabilistic model
- sample size
- labeled data
- graph cuts