Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition.

Published in: Comput. Stat. Data Anal. (2014)

Keyphrases

mixture model
incomplete data
em algorithm
reinforcement learning
unsupervised learning
learning algorithm
prior knowledge
generative model
missing data
missing values
probabilistic model
gaussian mixture model
density estimation
nearest neighbor
gaussian mixture