Complementary Structure-Learning Neural Networks for Relational Reasoning.
Jacob L. RussinMaryam ZolfagharSeongmin A. ParkErie BoormanRandall C. O'ReillyPublished in: CoRR (2021)
Keyphrases
- structure learning
- neural network
- bayesian networks
- statistical relational learning
- graphical models
- markov logic networks
- parameter estimation
- parameter learning
- transfer learning
- bayesian network structure learning
- conditional independence
- probabilistic reasoning
- knowledge representation
- bayesian network classifiers
- knowledge base
- markov networks
- fuzzy logic
- network structure
- sample size
- belief propagation
- structure learning algorithm
- prior information
- maximum likelihood estimation
- random variables
- probabilistic graphical models
- least squares
- knowledge discovery
- optical flow