\begin{thebibliography}{14}
\expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi
\expandafter\ifx\csname url\endcsname\relax
  \def\url#1{{\tt #1}}\fi

\bibitem[Akaike(1974)]{akaike}
H.~Akaike.
\newblock A new look at the statistical model identification.
\newblock {\em IEEE Transactions on Automatic Control}, AC--19:\penalty0
  716--723, 1974.

\bibitem[Bishop(1995)]{Bishop}
C.M. Bishop.
\newblock {\em Neural Networks for Pattern Recognition}.
\newblock Oxford University Press, Walton Street, Oxford OX2 6DP, 1995.

\bibitem[Burges(1998)]{Burges}
C.J.C. Burges.
\newblock A tutorial on support vector machines for pattern recognition.
\newblock {\em Data Mining and Knowledge Discovery}, 2\penalty0 (2), 1998.

\bibitem[Cho(1996)]{Cho}
Sung-Bae Cho.
\newblock Recognition of unconstrained handwritten numerals by doubly
  self-organizing neural network.
\newblock In {\em International Cconference on Pattern Recognition}, 1996.

\bibitem[Dempster et~al.(1977)Dempster, Laird, and Rubin]{Dempster}
N.~M. Dempster, A.P. Laird, and D.~B. Rubin.
\newblock Maximum likelihood from incomplete data via the {EM} algorithm.
\newblock {\em J. R. Statist. Soc. B}, 39:\penalty0 185--197, 1977.

\bibitem[{Luban, M.} and {Staunton, L.P.}(1988)]{Luban}
{Luban, M.} and {Staunton, L.P.}
\newblock An efficient method for generating a uniform distribution of points
  within a hypersphere.
\newblock {\em Computers in Physics}, 2\penalty0 (6):\penalty0 55--60, November
  1988.

\bibitem[Moya et~al.(1993)Moya, Koch, and Hostetler]{Moya2}
M.R. Moya, M.W. Koch, and L.D. Hostetler.
\newblock One-class classifier networks for target recognition applications.
\newblock In {\em Proceedings world congress on neural networks}, pages
  797--801, Portland, OR, 1993. International Neural Network Society.

\bibitem[Sch{\" o}lkopf et~al.(1999{\natexlab{a}})Sch{\" o}lkopf, Bartlett,
  Smola, and Williamson]{Scholkopf1}
B.~Sch{\" o}lkopf, P.~Bartlett, A.J. Smola, and R.~Williamson.
\newblock Shrinking the tube: A new support vector regression algorithm.
\newblock M. S. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances in
  Neural Information Processing Systems, 1999.

\bibitem[Sch{\" o}lkopf et~al.(1995)Sch{\" o}lkopf, Burges, and
  Vapnik]{Scholkopf5}
B.~Sch{\" o}lkopf, C.~Burges, and V.~Vapnik.
\newblock Extracting support data for a given task.
\newblock In U.M. Fayyad and R.~Uthurusamy, editors, {\em Proc. of first
  international conference on knowledge discovery and data mining}, pages
  252--257, Menlo Park, CA, 1995. AAAI Press.

\bibitem[Sch{\" o}lkopf et~al.(1999{\natexlab{b}})Sch{\" o}lkopf, Williamson,
  Smola, and Shawe-Taylor]{Scholkopf3}
B.~Sch{\" o}lkopf, R.C. Williamson, A.~Smola, and J.~Shawe-Taylor.
\newblock {SV} estimation of a distribution's support.
\newblock In {\em Advances in Neural Information Processing Systems},
  1999.

\bibitem[Tax(2001)]{Tax9}
D.M.J. Tax.
\newblock {\em One-class classification}.
\newblock PhD thesis, Delft University of Technology,
  http://www.ph.tn.tudelft.nl/\~{}davidt/thesis.pdf, June 2001.

\bibitem[Tax and Duin(1999)]{Tax5}
D.M.J. Tax and R.P.W Duin.
\newblock Support vector domain description.
\newblock {\em Pattern Recognition Letters}, 20\penalty0 (11-13):\penalty0
  1191--1199, December 1999.

\bibitem[Ullman(1978)]{Ullman}
N.R. Ullman.
\newblock {\em Elementary statistics, an applied approach}.
\newblock Wiley and Sons, 1978.

\bibitem[Vapnik(1998)]{Vapnik}
V.N. Vapnik.
\newblock {\em Statistical Learning Theory}.
\newblock Wiley, 1998.

\end{thebibliography}
