Alzheimer's classification using dynamic ensemble of classifiers selection algorithms: A performance analysis.
Muhammed Niyas K. P.Thiyagarajan P.Published in: Biomed. Signal Process. Control. (2021)
Keyphrases
- classification algorithm
- ensemble classifier
- machine learning algorithms
- feature selection
- accurate classifiers
- nearest neighbour
- training set
- support vector
- learning algorithm
- classification systems
- binary classification problems
- decision trees
- multiple classifiers
- final classification
- training data
- sufficient training data
- machine learning methods
- accurate classification
- majority voting
- instance selection
- supervised classification
- classification method
- benchmark datasets
- feature selection algorithms
- machine learning
- decision tree classifiers
- training samples
- support vector machine
- multiple classifier systems
- multi class
- feature extraction
- publicly available data sets
- classification accuracy
- nearest neighbor algorithm
- ensemble learning
- multiclass classification
- classifier ensemble
- classification models
- feature set
- text classification
- support vector machine svm
- binary classifiers
- multi category
- ensemble pruning
- one class support vector machines
- probabilistic classifiers
- concept drifting data streams