Sparse inverse covariance learning of conditional Gaussian mixtures for multiple-output regression.

Published in: Appl. Intell. (2016)

Keyphrases

covariance matrix
gaussian mixture
multiple output
machine learning
learning algorithm
feature selection
expectation maximization
unsupervised learning
prior knowledge
upper bound
supervised learning
model selection
mixture model
gaussian mixture model