Using Unlabeled Data for US Supreme Court Case Classification.
George SanchezPublished in: ICDM (Workshops) (2020)
Keyphrases
- unlabeled data
- semi supervised learning
- co training
- class labels
- semi supervised classification
- supervised learning
- labeled data
- labeled and unlabeled data
- text classification
- semi supervised
- improve the classification accuracy
- training set
- supervised learning algorithms
- active learning
- training data
- semisupervised learning
- text categorization
- unsupervised learning
- decision boundary
- learning algorithm
- data points
- classification accuracy
- labeled examples
- select relevant features
- semi supervised learning algorithms
- machine learning
- label information
- training examples
- decision trees
- supreme court
- support vector
- labeled instances
- feature space
- supervised and semi supervised
- document classification
- text classifiers
- unlabeled samples
- labeled training data
- class distribution
- transfer learning
- domain adaptation
- multiple instance learning
- training samples
- dimensionality reduction
- transductive learning
- support vector machine
- instance selection
- pattern classification
- single view