Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets.
Payam KarisaniPublished in: ACL (Findings) (2023)
Keyphrases
- training set
- neural network
- supervised learning
- pattern recognition
- training data
- co training
- classification accuracy
- semi supervised learning
- class labels
- unsupervised learning
- machine learning
- training samples
- automatic classification
- classification rules
- unlabeled data
- classification models
- cost sensitive
- classification algorithm
- labeled examples
- rule extraction
- learning vector quantization
- fuzzy decision trees
- feature extraction
- active learning
- artificial neural networks
- feature selection
- image classification
- decision trees
- support vector
- learning algorithm
- labeled data
- unlabeled samples
- labeled and unlabeled data
- fuzzy logic
- pattern classification
- semi supervised
- small number
- benchmark datasets
- training examples
- text classification