Traffic classification using deep learning: being highly accurate is not enough.
Kang-Hee LeeSeunghun LeeHyun-chul KimPublished in: SIGCOMM Posters and Demos (2020)
Keyphrases
- highly accurate
- deep learning
- unsupervised learning
- machine learning
- restricted boltzmann machine
- high quality
- high accuracy
- pattern recognition
- feature selection
- unsupervised feature learning
- capable of producing
- text classification
- decision trees
- support vector machine
- feature vectors
- feature space
- feature extraction
- multi class
- image classification
- support vector
- accurate models
- training set
- learning strategies
- mental models
- face recognition