Partially Observed Maximum Entropy Discrimination Markov Networks

  title={Partially Observed Maximum Entropy Discrimination Markov Networks},
  author={Jun Zhu and Eric P. Xing and Bo Zhang},
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unattainable fully annotated training data. While likelihood-based methods have been extensively explored, to our knowledge, learning structured prediction models with latent variables based on the max-margin principle remains largely an open problem. In this paper, we present a partially observed Maximum Entropy… CONTINUE READING
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