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In this paper we discuss the use of compression algorithms for author identification. We present the basic background about compression algorithms and introduce the prediction by partial matching algorithm, which has been used in our experiments. To better compare the results produced by the PPM algorithm, we present some experiments using stylometric features used very often by forensic examiners...
In this paper we compare two different paradigms for author identification. The first one is based on compression algorithms where the entire process of defining and extracting features and training a classifier is avoided. The second paradigm, on the other hand, takes into account the classical pattern recognition framework, where linguistic features proposed by forensic experts are used to train...
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