Learning from Failure: De-biasing Classifier from Biased Classifier.
Jun Hyun NamHyuntak ChaSungsoo AhnJaeho LeeJinwoo ShinPublished in: NeurIPS (2020)
Keyphrases
- sample selection bias
- learning algorithm
- learning stage
- learning phase
- minimax probability machine
- training data
- discriminative learning
- feature space
- decision trees
- training set
- classifier systems
- training process
- feature selection
- prior knowledge
- support vector machine
- learning tasks
- learning systems
- multiple classifiers
- learning classifier systems
- classification process
- training examples
- supervised learning
- unsupervised learning
- support vector
- class labels
- bayesian network classifiers
- labeled and unlabeled data
- linear classifiers
- classification scheme
- classification algorithm
- svm classifier
- false positives