Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints.
Ke SuHang SuChongxuan LiJun ZhuBo ZhangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- probabilistic model
- connectionist models
- machine learning
- bayesian framework
- data sets
- mathematical models
- linear constraints
- associative memory
- markov chain monte carlo methods
- symbolic description
- mathematical modeling
- probabilistic logic
- neural model
- constrained optimization
- inductive learning
- posterior probability
- parameter estimation
- artificial neural networks
- knowledge base
- neural network