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.
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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.
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(2011). Conditional Random Field. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_155
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DOI: https://doi.org/10.1007/978-0-387-30164-8_155
Publisher Name: Springer, Boston, MA
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