\begin{thebibliography}{28}
\expandafter\ifx\csname natexlab\endcsname\relax\def\natexlab#1{#1}\fi
\expandafter\ifx\csname url\endcsname\relax
  \def\url#1{{\tt #1}}\fi

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\newblock {\em Learning from Data {-} Concepts, Theory and Methods}.
\newblock John Wiley \& Sons, New York, 1998.

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\newblock {\em Best Approximation in Inner Product Spaces}.
\newblock Springer-Verlag, Berlin, 2001.

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\newblock Knowledge-based nonlinear kernel classifiers.
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\newblock Guiding a reinforcement learner with natural language advice: Initial
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\newblock In {\em Proceedings of the AAAI Workshop on Supervisory Control of
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\bibitem[Lee et~al.(2001)Lee, Mangasarian, and Wolberg]{lmw:01}
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\newblock Survival-time classification of breast cancer patients.
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\bibitem[Mangasarian(1994)]{man:69a}
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\newblock {\em Nonlinear Programming}.
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\bibitem[Mangasarian(2000)]{olm:98}
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\newblock Generalized support vector machines.
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\newblock Data mining via support vector machines, July 23-27, 2001.
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\bibitem[Mangasarian and Musicant(2002)]{mm:99a}
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\newblock Large scale kernel regression via linear programming.
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\bibitem[Mangasarian and Schumaker(1969)]{olmlls:69}
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\newblock Splines via optimal control.
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\bibitem[Mangasarian and Schumaker(1971)]{olmlls:71}
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\newblock Discrete splines via mathematical programming.
\newblock {\em SIAM Journal on Control}, 9:\penalty0 174--183, May 1971.

\bibitem[Mangasarian et~al.(1995)Mangasarian, Street, and Wolberg]{msw:94}
O.~L. Mangasarian, W.~N. Street, and W.~H. Wolberg.
\newblock Breast cancer diagnosis and prognosis via linear programming.
\newblock {\em Operations Research}, 43\penalty0 (4):\penalty0 570--577,
  July-August 1995.

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\newblock Prior knowledge in support vector kernels.
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\bibitem[{Sch\"olkopf} and Smola(2002)]{ss:02}
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\newblock {\em Learning with Kernels}.
\newblock MIT Press, Cambridge, MA, 2002.

\bibitem[Smola and {Sch\"olkopf}(1998)]{ss:98}
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\newblock On a kernel-based method for pattern recognition, regression,
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\newblock {\em Algorithmica}, 22:\penalty0 211--231, 1998.

\bibitem[Stone and Sutton(2001)]{stone.icml2001}
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\newblock Scaling reinforcement learning toward robocup soccer.
\newblock In {\em Proceedings of the Eighteenth International Conference on
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\bibitem[Sutton and Barto(1998)]{sutton.book1998}
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\newblock {\em Reinforcement Learning: An Introduction}.
\newblock MIT Press, Cambridge, MA, 1998.

\bibitem[Vapnik(2000)]{vap:00}
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\newblock {\em The Nature of Statistical Learning Theory}.
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\bibitem[Vapnik et~al.(1997)Vapnik, Golowich, and Smola]{vgs:97}
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\newblock Support vector method for function approximation, regression
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\newblock In {\em Neural Information Processing Systems Volume 9}, pages
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\bibitem[Wolberg et~al.(1995)Wolberg, Street, Heisey, and
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\newblock Computerized breast cancer diagnosis and prognosis from fine-needle
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\end{thebibliography}
