Understanding the Co-occurrence of Diseases Using Structure Learning.
Martijn LappenschaarArjen HommersomJoep LagroPeter J. F. LucasPublished in: AIME (2013)
Keyphrases
- co occurrence
- structure learning
- graphical models
- bayesian networks
- conditional independence
- dependency structure
- wordnet
- markov logic networks
- semantic relations
- transfer learning
- named entities
- parameter estimation
- sample size
- semantic similarity
- topic models
- markov networks
- random variables
- background knowledge
- higher order
- data mining