Structured Sparsity in Structured Prediction.

André F. T. Martins Noah A. Smith Mário A. T. Figueiredo Pedro M. Q. Aguiar

Published in: EMNLP (2011)

Keyphrases

structured prediction
structured sparsity
maximum margin
conditional random fields
learning problems
latent variables
markov networks
approximate inference
convex optimization
belief networks
graphical models
text classification
belief propagation
learning tasks
support vector
markov random field
semi supervised