Multi-stage ensemble with refinement for noisy labeled data classification.
Chihyeon ChoiWoojin LeeYoungdoo SonPublished in: Expert Syst. Appl. (2024)
Keyphrases
- multistage
- labeled data
- text classification
- class labels
- unlabeled data
- supervised learning
- training data
- semi supervised learning
- semi supervised classification
- semi supervised
- labeled and unlabeled data
- co training
- active learning
- accurate classifiers
- training set
- classification accuracy
- labeled instances
- fully supervised
- supervised learning algorithms
- labeled training data
- label information
- semi supervised learning algorithms
- transfer learning
- feature selection
- neural network
- unlabeled samples
- unsupervised learning
- labeled examples
- labeling effort
- domain adaptation
- dynamic programming
- machine learning
- learning algorithm
- multi label learning
- training examples
- decision trees
- single stage
- labeling process
- trained classifiers
- learning tasks
- label propagation
- classification models
- data points
- prior knowledge
- feature extraction
- partially labeled data
- training instances
- model selection
- text mining
- supervised machine learning algorithms
- instance selection
- decision boundary
- base classifiers
- supervised methods
- optimal policy
- support vector machine