Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization.
Takuya ShimadaHan BaoIssei SatoMasashi SugiyamaPublished in: Neural Comput. (2021)
Keyphrases
- unlabeled data
- co training
- labeled data
- semi supervised learning
- labeled and unlabeled data
- class labels
- text classification
- supervised learning
- semi supervised
- training set
- active learning
- data points
- decision boundary
- classification accuracy
- machine learning
- text categorization
- training data
- pairwise
- unsupervised learning
- learning algorithm
- pattern recognition
- support vector
- domain adaptation
- training examples
- machine learning algorithms
- data sets
- learning tasks
- distance metric
- transfer learning
- decision trees
- feature extraction
- similarity measure
- image classification
- support vector machine
- naive bayes
- feature selection
- supervised classification
- kernel machines