'Optimal hyperplane' diaporamas de présentation

Outline

Outline. Support Vector Machines Linear SVM Maximal Margin Non-linear Case Soft Margin Kernel Tricks Summary. Just in Case. W is a vector orthogonal to the hyperplane <w,x> is the length of x along the direction of w (scaled by ||w||). Linear Classification.

624 views • 62 slides

Chapter 5: Linear Discriminant Functions (Sections 5.1-5.3, 5.4, 5.11)

Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000 with the permission of the authors and the publisher. Chapter 5: Linear Discriminant Functions (Sections 5.1-5.3, 5.4, 5.11).

1.26k views • 61 slides

Optimization Theory

Optimization Theory. Primal Optimization Problem. subject to:. Primal Optimal Value:. Optimization Theory. Convex Optimization Problem. subject to:. : convex functions. Optimization Theory. Primal Lagrangian function. subject to:. Optimization Theory. Kuhn-Tucker Theory.

527 views • 24 slides

Separating Hyperplanes

878 views • 20 slides