Network Intrusion Detection System Based on an Adversarial Auto-Encoder with Few Labeled Training Samples.
Kohei ShiomotoPublished in: J. Netw. Syst. Manag. (2023)
Keyphrases
- training samples
- supervised learning
- training data
- training set
- unlabeled samples
- feature space
- learning algorithm
- number of training samples
- bit rate
- test sample
- hyperplane
- high dimensional
- decision boundary
- training examples
- decision function
- motion estimation
- data sets
- sample set
- active learning
- support vectors
- discriminative information
- positive training examples
- base classifiers
- face images
- decision trees
- kernel matrix
- subband
- computer vision
- semi supervised learning