Modeling Human-like Concept Learning with Bayesian Inference over Natural Language.
Kevin EllisPublished in: CoRR (2023)
Keyphrases
- concept learning
- bayesian inference
- natural language
- probabilistic model
- probabilistic modeling
- prior information
- gibbs sampler
- variational inference
- statistical inference
- bayesian model
- markov networks
- inductive logic programming
- hierarchical bayesian
- hyperparameters
- constructive induction
- variational bayes
- background knowledge
- machine learning
- particle filter
- natural language processing
- knowledge representation