Improving the Classification of Rare Chords with Unlabeled Data.
Marcelo BortolozzoRodrigo SchrammCláudio R. JungPublished in: CoRR (2020)
Keyphrases
- unlabeled data
- co training
- labeled data
- semi supervised learning
- supervised learning
- text classification
- semi supervised
- class labels
- labeled and unlabeled data
- semi supervised classification
- improve the classification accuracy
- supervised learning algorithms
- training set
- semisupervised learning
- training data
- classification accuracy
- active learning
- label information
- decision boundary
- labeled examples
- semi supervised learning algorithms
- machine learning
- unsupervised learning
- text categorization
- labeled training data
- training samples
- select relevant features
- feature vectors
- learning algorithm
- prior knowledge
- data points
- machine learning algorithms
- class distribution
- supervised and semi supervised
- multi class
- number of labeled examples
- decision trees
- feature extraction
- transductive learning
- object recognition
- unlabeled samples
- pairwise
- labeling effort
- reinforcement learning
- support vector
- cost sensitive
- label propagation
- model selection
- multi view
- instance selection
- learning tasks
- classification systems
- image classification
- document classification