FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification.
Kamran KowsariNima BariRoman VichrFarhad A. GoodarziPublished in: CoRR (2017)
Keyphrases
- supervised learning
- supervised machine learning
- unsupervised learning
- feature vectors
- machine learning
- supervised classification
- class labels
- classification accuracy
- pattern recognition
- training samples
- training data
- feature set
- accurate classification
- decision rules
- ranking functions
- pattern classification
- statistical learning
- training set
- fuzzy classifier
- discriminative features
- support vector machine
- fuzzy classification
- feature space
- support vector machine svm
- fuzzy rules
- feature representation
- learning tasks
- membership functions
- classification algorithm
- preprocessing stage
- neural network
- unlabeled data
- semi supervised learning
- image classification
- feature extraction
- svm classifier
- feature values
- reinforcement learning
- active learning
- feature weights
- information retrieval
- image features
- fuzzy logic
- feature analysis
- rule extraction
- semi supervised
- learning algorithm
- fuzzy numbers
- decision trees
- feature selection