Learning Temporal Dependence from Time-Series Data with Latent Variables.

Hossein Hosseini Sreeram Kannan Baosen Zhang Radha Poovendran

Published in: DSAA (2016)

Keyphrases

latent variables
latent variable models
prior knowledge
structured output
learning algorithm
hidden variables
structural svms
data sets
active learning
learning problems
posterior distribution
structured prediction
image segmentation
reinforcement learning
real valued
hierarchical model