A Feature Selection-based Ensemble Method for Arrhythmia Classification.
Erdenetuya NamsraiTsendsuren MunkhdalaiMeijing LiJung-Hoon ShinOyun-Erdene NamsraiKeun Ho RyuPublished in: J. Inf. Process. Syst. (2013)
Keyphrases
- feature selection
- ensemble methods
- feature subset
- ensemble classifier
- classification accuracy
- decision trees
- machine learning methods
- classification models
- ensemble classification
- text classification
- benchmark datasets
- ensemble learning
- generalization ability
- feature set
- ensemble feature selection
- support vector
- machine learning
- base classifiers
- feature extraction
- prediction accuracy
- support vector machine
- classifier ensemble
- text categorization
- random forest
- feature space
- multilabel classification
- random forests
- model selection
- rotation forest
- uci data sets
- feature vectors
- classification algorithm
- preprocessing step
- training set
- image classification
- individual classifiers
- support vector machine svm
- supervised learning
- training samples
- machine learning algorithms