Phasma: An automatic modulation classification system based on Random Forest.
Kostis TriantafyllakisManolis SurligasGeorge VardakisStefanos PapadakisPublished in: DySPAN (2017)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- random forests
- cancer classification
- support vector
- ensemble classifier
- classification algorithm
- classification accuracy
- ensemble methods
- class labels
- feature importance
- base classifiers
- decision tree learning algorithms
- data sets
- multi label
- feature ranking
- generalization ability
- rotation forest
- classification models
- machine learning
- machine learning algorithms
- image classification
- supervised learning
- support vector machine
- feature vectors
- training data
- feature selection
- genetic algorithm
- benchmark datasets
- unsupervised learning
- classifier ensemble
- feature extraction
- computer vision