Transductive polyhedral conic classifiers for machine learning applications.
Hakan CevikalpHalil SaglamlarPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- machine learning
- machine learning algorithms
- support vector
- decision trees
- machine learning methods
- text classification
- machine learning approaches
- feature selection
- semi supervised learning
- transductive inference
- supervised classification
- naive bayes
- training data
- convex hull
- svm classifier
- semi supervised
- pattern recognition
- support vector machine
- test set
- model selection
- roc curve
- hyperplane
- straight line
- meta learning
- natural language processing
- supervised learning
- roc analysis
- co training
- classification models
- linear classifiers
- convex sets
- labeled and unlabeled data
- training examples
- data mining
- test data
- learning algorithm
- computer vision
- labeled data
- training set
- text mining
- transductive learning
- learning classifier systems
- active learning
- knn
- learning tasks
- feature set
- text categorization
- data sets
- line drawings
- feature subset