Ensemble-based active learning using fuzzy-rough approach for cancer sample classification.
Ansuman KumarAnindya HalderPublished in: Eng. Appl. Artif. Intell. (2020)
Keyphrases
- active learning
- training set
- machine learning
- feature selection
- classification accuracy
- text classification
- decision trees
- selective sampling
- sample selection
- supervised learning
- learning algorithm
- final classification
- feature vectors
- support vector machine
- random forest
- class labels
- feature extraction
- cancer classification
- multiple classifiers
- majority voting
- batch mode active learning
- classifier ensemble
- class imbalance
- neural network
- data sets
- cross validation
- support vector
- ensemble methods
- support vector machine svm
- multiple classifier systems
- annotation effort
- colon cancer
- rare class
- training data
- training samples
- cancer diagnosis
- training examples
- imbalanced data
- gene expression profiles
- machine learning algorithms
- classification algorithm
- ensemble learning
- random sampling
- generalization ability