Probabilistic Reasoning via Deep Learning: Neural Association Models.
Quan LiuHui JiangZhen-Hua LingSi WeiYu HuPublished in: CoRR (2016)
Keyphrases
- probabilistic reasoning
- deep learning
- bayesian networks
- deep architectures
- constraint satisfaction
- knowledge representation
- neural network
- model selection
- probabilistic inference
- probabilistic model
- computer vision
- unsupervised learning
- belief networks
- artificial neural networks
- mental models
- feature selection
- machine learning