Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning.
Omar MaddouriXiaoning QianFrancis J. AlexanderEdward R. DoughertyByung-Jun YoonPublished in: CoRR (2021)
Keyphrases
- transfer learning
- importance sampling
- error estimation
- monte carlo
- posterior distribution
- machine learning algorithms
- reinforcement learning
- labeled data
- machine learning
- markov chain monte carlo
- active learning
- markov chain
- text categorization
- optimal solution
- semi supervised learning
- particle filter
- learning algorithm
- dynamic programming
- worst case
- text classification
- kalman filter
- particle filtering
- data sets
- cross validation
- visual tracking
- bayesian inference
- generalization error
- bayesian networks
- model selection