images.bbl

一种新颖的SVM算法

\hyphenation{Post-script Sprin-ger}
\begin{thebibliography}{OFG97b}

\bibitem[BS97]{bernhard}
C.~Burges and B.~Sch\"olkopf.
\newblock Improving the accuracy and speed of support vector machines.
\newblock {\em Neural Information Processing Systems}, 9:7, 1997.

\bibitem[Knoen]{multiclasspaper}
Bug.~R. Knows.
\newblock Multi-class paper.
\newblock {\em Or in What}, Or what volume:or how many pages it was, Don't know
  when.

\bibitem[OFG97a]{edgar2}
E.~Osuna, R.~Freund, and F.~Girosi.
\newblock Improved training algorithm for support vector machines.
\newblock {\em NNSP'97}, 1997.

\bibitem[OFG97b]{edgar1}
E.~Osuna, R.~Freund, and F.~Girosi.
\newblock Training support vector machines:an application to face detection.
\newblock {\em CVPR'97}, 1997.

\bibitem[Sch97]{Schol:Thesis}
B.~Sch\"olkopf.
\newblock {\em Support Vector Learning}.
\newblock R. Oldenbourg Verlag, Munich, 1997.

\bibitem[Van]{loqo}
R.~J. Vanderbei.
\newblock Loqo: An interior point code for quadratic programming.

\bibitem[Vap95]{vapnik95}
Vladimir~N. Vapnik.
\newblock {\em The Nature of Statistical Learning Theory}.
\newblock Springer, New York, 1995.

\bibitem[Vapng]{vlad98}
Vladimir~N. Vapnik.
\newblock {\em Statistical Learning Theory}.
\newblock J. Wiley, forthcoming.

\bibitem[VGS]{vladgolo}
Vladimir~N. Vapnik, Steven~E. Golowich, and Alex Smola.
\newblock Support vector method for function approximation, regression
  estimation and signal processing.

\end{thebibliography}