Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC).
Furqan RustamArif MehmoodSaleem UllahMuhammad AhmadDost Muhammad KhanGyu Sang ChoiByung-Won OnPublished in: Astron. Comput. (2020)
Keyphrases
- classification trees
- majority voting
- weak classifiers
- weak learners
- ensemble learning
- feature selection
- decision tree classifiers
- weighted voting
- adaboost algorithm
- tree structure
- randomized trees
- training data
- multiclass classification
- learning algorithm
- decision forest
- multiple classifier systems
- support vector
- boosted classifiers
- ensemble classifier
- decision trees
- face detection
- improving classification accuracy
- decision stumps
- accurate classifiers
- support vector machine
- binary decision tree
- class labels
- index structure
- discriminative classifiers
- training set
- face detector
- training error
- training process
- feature set
- boosting algorithms
- vc dimension
- classification algorithm
- bayesian classifiers
- classifier combination
- base learners
- svm classifier
- bayesian classifier
- information retrieval
- linear classifiers