An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case.
Ryan SmithPhilipp SchwartenbeckThomas ParrKarl J. FristonPublished in: Frontiers Comput. Neurosci. (2020)
Keyphrases
- concept learning
- structure learning
- dynamic bayesian networks
- bayesian networks
- parameter learning
- markov logic networks
- graphical models
- conditional independence
- transfer learning
- probabilistic inference
- parameter estimation
- feature selection
- statistical relational learning
- undirected graphical models
- markov networks
- inductive logic programming
- network structure
- artificial intelligence
- probabilistic reasoning
- background knowledge
- sample size
- higher order
- knowledge base