Sensitivity analysis on initial classifier accuracy in fuzziness based semi-supervised learning.
Muhammed J. A. PatwaryXi-Zhao WangPublished in: Inf. Sci. (2019)
Keyphrases
- sensitivity analysis
- semi supervised learning
- labeled instances
- semi supervised
- co training
- training data
- unlabeled data
- labeled data
- labeled training data
- labeled and unlabeled data
- multi label classification
- supervised learning
- managerial insights
- semi supervised learning methods
- manifold regularization
- semi supervised classification
- unsupervised learning
- unlabeled samples
- machine learning
- fold cross validation
- labeled samples
- active learning
- multiple kernel learning
- training instances
- class labels
- supervised classifiers
- unlabeled instances
- labeled examples
- text categorization
- label propagation
- classification accuracy
- semi supervised learning algorithms
- training examples
- instance selection
- decision trees
- training set
- unseen data
- feature selection
- multiple instance learning
- learning models
- learning algorithm
- support vector machine
- graph based semi supervised learning
- random projections
- high dimensional
- learning tasks
- learning process
- multi view