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An Introduction to Conditional Random Fields
[article]
2010
arXiv
pre-print
Often we wish to predict a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classification and graphical modeling, combining the ability of graphical models to compactly model multivariate data with the ability of classification methods to perform prediction using large sets of input features. This tutorial describes conditional random fields, a popular probabilistic method for structured
arXiv:1011.4088v1
fatcat:bhbw6i74cfg35csu3wboyqubee