NLOS identification and mitigation in UWB positioning with bagging-based ensembled classifiers.
V. Ch Sekhar Rao RayavarapuArunanshu MahapatroPublished in: Ann. des Télécommunications (2022)
Keyphrases
- decision trees
- ensemble learning
- majority voting
- randomized trees
- meta learning
- ensemble classifier
- training set
- classifier ensemble
- voting methods
- individual classifiers
- imbalanced data
- ensemble methods
- multipath
- class label noise
- decision tree classifiers
- ensemble classification
- machine learning algorithms
- support vector
- training data
- accurate classifiers
- decision stumps
- linear classifiers
- feature selection
- naive bayes
- machine learning methods
- base classifiers
- random forests
- ensemble members
- ultra wideband
- multi band
- learning machines
- machine learning
- random forest
- test set
- weak classifiers
- svm classifier
- logistic regression
- training samples
- feature set
- knn
- class distribution
- multiple classifier systems
- classification models
- benchmark datasets
- learning algorithm