Learning from Failure: Training Debiased Classifier from Biased Classifier.
Jun Hyun NamHyuntak ChaSungsoo AhnJaeho LeeJinwoo ShinPublished in: CoRR (2020)
Keyphrases
- sample selection bias
- learning algorithm
- training process
- learning stage
- learning phase
- training set
- training samples
- supervised training
- training data
- minimax probability machine
- online learning
- training examples
- feature selection
- support vector machine
- learning process
- bayesian network classifiers
- supervised learning
- feature selection and classifier
- support vector
- learning classifier systems
- decision trees
- training instances
- svm classifier
- feature space
- multi category
- testing phase
- semi supervised
- training set size
- minimum error rate
- neural network
- labeled training data
- discriminative learning
- co training
- incremental learning
- learning problems
- learning tasks
- classification accuracy