A fuzzy logic expert system to predict module fault proneness using unlabeled data.
Golnoush AbaeiAli SelamatJehad Al DallalPublished in: J. King Saud Univ. Comput. Inf. Sci. (2020)
Keyphrases
- unlabeled data
- fuzzy logic
- expert systems
- semi supervised learning
- labeled data
- semi supervised
- co training
- active learning
- semi supervised classification
- labeled examples
- training data
- supervised learning
- text classification
- training set
- data points
- labeled training data
- text categorization
- labeled and unlabeled data
- learning algorithm
- control system
- knowledge base
- training examples
- class labels
- number of labeled examples
- genetic algorithm
- supervised learning algorithms
- small set of labeled
- positive examples
- prior knowledge
- neural network
- machine learning
- multi view learning
- data sets
- small number
- domain adaptation
- knowledge representation
- learning environment
- e learning
- sample selection bias
- semisupervised learning