Hidden Dynamic Probabilistic Models for Labeling Sequence Data

@inproceedings{Yu2008HiddenDP,
  title={Hidden Dynamic Probabilistic Models for Labeling Sequence Data},
  author={Xiaofeng Yu and Wai Lam},
  booktitle={AAAI},
  year={2008}
}
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external class dynamics to label sequence data. We introduce a small number of hidden state variables to model the sub-structure of a observation sequence and learn dynamics between different class labels. An HDCRF offers several advantages over previous discriminative models and is attractive both, conceptually and… CONTINUE READING

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