Random Sampling from Joint Probability Distributions Defined in a Bayesian Framework.

Thierry Alex Mara Marwan Fahs Qian Shao Anis Younes

Published in: SIAM J. Sci. Comput. (2019)

Keyphrases

random sampling
bayesian framework
hyperparameters
active learning
sample size
generative model
prior knowledge

gaussian process
maximum a posteriori
sampling algorithm
posterior probability
posterior distribution
probability density function
expectation maximization

sliding window
learning process
joint probability distributions
bayesian methods
reservoir sampling
data sets

probabilistic model
feature space
support vector
learning algorithm
machine learning
data mining