Scalable quantum measurement error mitigation via conditional independence and transfer learning.
Changwon LeeDaniel K. ParkPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- conditional independence
- measurement error
- transfer learning
- structure and parameter learning
- structure learning
- bayesian networks
- graphical models
- random variables
- reinforcement learning
- machine learning
- probability distribution
- knowledge transfer
- causal models
- range images
- labeled data
- directed acyclic graph
- text classification
- sample points
- text mining
- active learning
- cross domain
- focal length
- learning algorithm
- machine learning algorithms
- semi supervised learning
- fuzzy neural network
- collaborative filtering
- text categorization
- target domain
- vanishing points
- unlabeled data
- unsupervised learning
- knn