A Conditional Random Field is a form of Graphical Model for segmenting and cla-ssifying 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. Morgan Kaufmann, San Francisco, pp 282–289
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(2017). Conditional Random Field. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_155
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_155
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