Entry Murrell:2011:FDK from mathematicaj.bib

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BibTeX entry

@Article{Murrell:2011:FDK,
  author =       "Hugh Murrell and Kazuo Hashimoto and Daichi Takatori",
  title =        "{Fisher} Discrimination with Kernels",
  journal =      j-MATHEMATICA-J,
  volume =       "13",
  number =       "??",
  pages =        "??--??",
  month =        "????",
  year =         "2011",
  CODEN =        "????",
  ISSN =         "1047-5974 (print), 1097-1610 (electronic)",
  bibdate =      "Sat Mar 15 08:18:42 MDT 2014",
  bibsource =    "http://www.math.utah.edu/pub/tex/bib/mathematicaj.bib",
  URL =          "http://www.mathematica-journal.com/2011/07/fisher-discrimination-with-kernels/",
  abstract =     "Fisher first introduced the Fisher linear discriminant
                 back in 1938. After the popularization of the support
                 vector machine (SVM) and the kernel trick it became
                 inevitable that the Fisher linear discriminant would be
                 kernelized. Sebastian Mika accomplished this task as
                 part of his Ph.D. in 2002 and the kernelized Fisher
                 discriminant (KFD) now forms part of the large-scale
                 machine-learning tool Shogun. In this article we
                 introduce the package MathKFD. We apply MathKFD to
                 synthetic datasets to demonstrate nonlinear
                 classification via kernels. We also test performance on
                 datasets from the machine-learning literature. The
                 construction of MathKFD follows closely in style the
                 construction of MathSVM by Nilsson and colleagues. We
                 hope these two packages and others of the same ilk will
                 eventually be integrated to form a kernel-based
                 machine-learning environment for Mathematica.",
  acknowledgement = ack-nhfb,
  journal-URL =  "http://www.mathematica-journal.com/",
}

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