Bayesian regression and classification using Gaussian process priors indexed by probability density functions.
Anis FradiY. FeunteunChafik SamirM. BakloutiFrançois BachocJean-Michel LoubesPublished in: Inf. Sci. (2021)
Keyphrases
- gaussian process
- gaussian processes
- bayesian framework
- probability density function
- posterior probability
- gaussian process regression
- model selection
- hyperparameters
- bayesian methods
- regression model
- covariance function
- density estimation
- posterior distribution
- prior distribution
- support vector
- prior knowledge
- approximate inference
- density function
- expectation propagation
- cross validation
- maximum a posteriori
- machine learning
- generative model
- feature extraction
- feature vectors
- mixture model
- unsupervised learning
- maximum likelihood
- supervised learning
- image processing
- face recognition
- bayesian networks
- training set
- semi supervised
- expectation maximization
- gaussian mixture model
- prior information