Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification.
Shida LeiNan LuGang NiuIssei SatoMasashi SugiyamaPublished in: CoRR (2021)
Keyphrases
- binary classification
- support vector
- binary classification problems
- multi class classification
- cost sensitive
- multi class
- multiclass classification
- small number
- binary classifiers
- feature set
- classification accuracy
- feature extraction
- class imbalance
- class labels
- support vector machine
- active learning
- training set
- data sets
- ensemble methods
- classification algorithm
- feature selection
- high dimensionality
- unsupervised learning
- negative examples
- learning problems
- benchmark datasets
- prediction accuracy
- machine learning algorithms
- text classification
- markov random field
- feature vectors
- similarity measure
- neural network