Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Conditional Random Field

Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_155

A Conditional Random Field is a form of  Graphical Model for segmenting and  classifying sequential data. It is the  discriminative learning counterpart to the  generative learning Markov Chain model.

Recommended Reading

  1. Lafferty, J., McCallum, A., & Pereira, F. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the 18th international conference on machine learning (pp. 282–289). San Francisco, Morgan Kaufmann.Google Scholar

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