Maritime anomaly detection using Gaussian Process active learning.
Kira KowalskaLeto PeelPublished in: FUSION (2012)
Keyphrases
- gaussian process
- anomaly detection
- active learning
- semi supervised
- gaussian processes
- random sampling
- hyperparameters
- intrusion detection
- approximate inference
- regression model
- unsupervised learning
- detecting anomalies
- model selection
- bayesian framework
- latent variables
- network intrusion detection
- anomalous behavior
- one class support vector machines
- network traffic
- learning algorithm
- intrusion detection system
- labeled data
- higher order
- supervised learning
- training set
- machine learning
- detect anomalies
- data sets
- bayesian inference
- generative model
- k means
- data mining