On Universal Features for High-Dimensional Learning and Inference.
Shao-Lun HuangAnuran MakurGregory W. WornellLizhong ZhengPublished in: CoRR (2019)
Keyphrases
- high dimensional
- knowledge acquisition
- bayesian networks
- learning tasks
- feature extraction
- probabilistic inference
- feature construction
- markov logic
- bayesian inference
- learning problems
- machine learning
- supervised learning
- image features
- active learning
- feature space
- reinforcement learning
- boltzmann machine
- inductive inference
- co occurrence