Distributed Boosting Classifiers over Noisy Channels.
Yongjune KimYuval CassutoLav R. VarshneyPublished in: ACSSC (2020)
Keyphrases
- ensemble learning
- randomized trees
- weak classifiers
- weak learners
- ensemble classifier
- improving classification accuracy
- distributed environment
- distributed systems
- majority voting
- decision trees
- boosting algorithms
- feature selection
- accurate classifiers
- multiple classifier systems
- adaboost algorithm
- training data
- cooperative
- decision stumps
- training set
- support vector
- discriminative classifiers
- machine learning
- linear classifiers
- communication channels
- classification algorithm
- test set
- classification trees
- machine learning algorithms
- ensemble methods
- training examples
- weighted voting
- multi agent
- multiclass classification
- classification systems
- machine learning methods