Current Slide
Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.
SVM: Different Kernel functions
- Instead of computing the dot product on the transformed data, it is math. equivalent to applying a kernel function K(Xi, Xj) to the original data, i.e., K(Xi, Xj) = Φ(Xi) Φ(Xj)
- Typical Kernel Functions

- SVM can also be used for classifying multiple (> 2) classes and for regression analysis (with additional parameters)
Speaker notes:
Content Tools
Tools
Sources (0)
Tags (0)
Comments (0)
History
Usage
Questions (0)
Playlists (0)
Quality
Sources
There are currently no sources for this slide.