Bayesian Learning for Regression Using Dirichlet Prior Distributions of Varying Localization.

Paul Rademacher Milos Doroslovacki

Published in: SSP (2021)

Keyphrases

bayesian learning
model selection
relevance vector machine
mixture model
regression model
hyperparameters
cross validation
posterior distribution
parameter estimation
sample size
linear regression
feature selection
machine learning
em algorithm
gaussian processes
support vector
marginal likelihood
least squares