Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications.
Max SklarPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- supervised machine learning
- bias correction
- gibbs sampler
- sample selection
- active learning
- markov chain monte carlo
- manually annotated
- prior information
- probabilistic model
- semi supervised
- hyperparameters
- intensity inhomogeneity
- supervised learning
- random sampling
- variational inference
- particle filter
- machine learning
- maximum entropy principle
- pairwise
- automatic extraction
- relation extraction
- decision trees
- gibbs sampling
- e learning
- medical images
- probability distribution
- bayesian networks
- training data
- image segmentation