Deep Gaussian Process autoencoders for novelty detection.
Remi DominguesPietro MichiardiJihane ZouaouiMaurizio FilipponePublished in: Mach. Learn. (2018)
Keyphrases
- gaussian process
- novelty detection
- gaussian processes
- denoising
- gaussian process regression
- approximate inference
- semi supervised
- anomaly detection
- regression model
- hyperparameters
- bayesian framework
- latent variables
- model selection
- concept drift
- gaussian process models
- incremental learning
- data mining
- closed form
- random variables
- unsupervised learning