Sample efficient learning of image-based diagnostic classifiers via probabilistic labels.
Roberto VegaPouneh GorjiZichen Vincent ZhangXuebin QinAbhilash Rakkunedeth HareendranathanJeevesh KapurJacob L. JaremkoRussell GreinerPublished in: AISTATS (2021)
Keyphrases
- efficient learning
- training data
- class labels
- bayes net
- small sample
- training set
- labeled samples
- training examples
- learning algorithm
- log linear models
- data samples
- support vector
- probabilistic model
- bayesian networks
- multi label classification
- training and test sets
- structured prediction
- generative model
- decision trees
- unlabeled samples
- sample size
- feature set
- supervised learning
- naive bayes
- belief networks
- database
- semi supervised
- pairwise
- feature selection
- data mining