A Strong Machine Learning Classifier and Decision Stumps Based Hybrid AdaBoost Classification Algorithm for Cognitive Radios.
Siji ChenBin ShenXin WangSang-Jo YooPublished in: Sensors (2019)
Keyphrases
- classification algorithm
- decision stumps
- base learners
- support vector machine
- machine learning
- learning algorithm
- ensemble classifier
- k nearest neighbor
- knn
- weak classifiers
- naive bayes
- decision trees
- training set
- concept drift
- multi class
- feature selection
- base classifiers
- machine learning methods
- training data
- svm classifier
- class labels
- machine learning algorithms
- decision forest
- learning tasks
- text classification
- logistic regression
- support vector machine svm
- active learning
- reinforcement learning
- supervised learning
- information extraction
- support vector
- kernel machines
- nearest neighbor
- learning problems
- generalization ability
- object detection
- ensemble learning
- cost sensitive
- training process
- natural language processing
- unsupervised learning
- feature vectors
- training examples
- training samples
- text categorization