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    Electronic Resource
    Electronic Resource
    Springer
    Computers and the humanities 29 (1995), S. 449-461 
    ISSN: 1572-8412
    Keywords: neural networks ; stylometric analysis ; Shakespeare ; Fletcher ; discrimination ; classification
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Media Resources and Communication Sciences, Journalism
    Notes: Abstract In this paper we show, for the first time, how Radial Basis Function (RBF) network techniques can be used to explore questions surrounding authorship of historic documents. The paper illustrates the technical and practical aspects of RBF's, using data extracted from works written in the early 17th century by William Shakespeare and his contemporary John Fletcher. We also present benchmark comparisons with other standard techniques for contrast and comparison.
    Type of Medium: Electronic Resource
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