Ensemble Training with Classifiers Selection Mechanism.
Md Syadus SefatMd ShahjahanMahbubur RahmanDamian VallesPublished in: UEMCON (2021)
Keyphrases
- selection mechanism
- training set
- ensemble learning
- test set
- training samples
- training data
- classifier ensemble
- ensemble classifier
- trained classifiers
- multiple classifiers
- training examples
- majority voting
- ensemble pruning
- final classification
- combining classifiers
- discriminative classifiers
- individual classifiers
- training process
- support vector
- supervised training
- classification algorithm
- decision tree classifiers
- feature selection and classifier
- ensemble methods
- diversity measures
- decision trees
- machine learning algorithms
- randomized trees
- weak classifiers
- rule induction algorithm
- classification models
- training set size
- accurate classifiers
- weighted voting
- binary classification problems
- multi layer perceptron
- ensemble members
- class labels
- bias variance decomposition
- classification accuracy
- feature selection
- decision stumps
- class label noise
- training and testing data
- neural network
- multiple classifier systems
- selective attention
- classifier combination
- weak learners
- concept drift
- base classifiers
- feature subset
- machine learning methods
- segmentation algorithm
- unlabeled data
- feature set
- supervised learning
- active learning
- learning algorithm