Traffic classification at the radio spectrum level using deep learning models trained with synthetic data.
Tom De SchepperMiguel CameloJeroen FamaeySteven LatréPublished in: Int. J. Netw. Manag. (2020)
Keyphrases
- synthetic data
- learning models
- classification models
- machine learning
- machine learning algorithms
- data sets
- real world
- decision trees
- pattern recognition
- support vector
- training set
- svm classifier
- machine learning models
- classification accuracy
- feature extraction
- learning problems
- semi supervised learning
- text classification
- learning tasks
- real image data
- learning algorithm
- feature selection
- loss function
- image classification
- supervised learning
- support vector machine
- feature vectors
- unsupervised learning
- conditional random fields
- model selection
- training data
- neural network