\BOOKMARK [2][]{Outline0.1}{Linear SVM's}{}% 1
\BOOKMARK [3][]{Outline0.1.1.4}{The margin and the expected classification error}{Outline0.1}% 2
\BOOKMARK [3][]{Outline0.1.2.5}{Maximum Margin Linear classifiers}{Outline0.1}% 3
\BOOKMARK [3][]{Outline0.1.3.12}{Linear classifiers for non-linearly separable data}{Outline0.1}% 4
\BOOKMARK [2][]{Outline0.2}{Non linear SVM}{}% 5
\BOOKMARK [3][]{Outline0.2.1.15}{The ``kernel trick''}{Outline0.2}% 6
\BOOKMARK [3][]{Outline0.2.2.19}{Kernels}{Outline0.2}% 7
\BOOKMARK [3][]{Outline0.2.3.23}{Prediction with SVM}{Outline0.2}% 8
\BOOKMARK [2][]{Outline0.3}{Extensions}{}% 9
\BOOKMARK [3][]{Outline0.3.1.24}{L1 SVM}{Outline0.3}% 10
\BOOKMARK [3][]{Outline0.3.2.25}{Multi-class and One class SVM}{Outline0.3}% 11
\BOOKMARK [3][]{Outline0.3.3.26}{SV Regression}{Outline0.3}% 12
\BOOKMARK [1][]{Outline1}{Appendix}{}% 13
\BOOKMARK [2][]{Outline1.4.1.33}{A simple optimization example}{Outline1}% 14
\BOOKMARK [3][]{Outline1.5.1.37}{A simple SVM problem}{Outline1.4.1.33}% 15