Authorship verification using deep belief network systems

@article{Brocardo2017AuthorshipVU,
  title={Authorship verification using deep belief network systems},
  author={Marcelo Luiz Brocardo and Issa Traor{\'e} and Isaac Woungang and Mohammad S. Obaidat},
  journal={International Journal of Communication Systems},
  year={2017},
  volume={30}
}
This paper explores the use of deep belief networks for authorship verification model applicable for continuous authentication (CA). The proposed approach uses Gaussian units in the visible layer to model real‐valued data on the basis of a Gaussian‐Bernoulli deep belief network. The lexical, syntactic, and application‐specific features are explored, leading to the proposal of a method to merge a pair of features into a single one. The CA is simulated by decomposing an online document into a… 

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