Kernel Functions - Pattern Recognition - Lecture Slides, Slides for Advanced Engineering Dynamics. Punjab Engineering College

Advanced Engineering Dynamics

Description: The key points are: Kernel Functions, Mapping Implicitly, Nonlinear Classifiers, Regression Problems, Kernel Trick, Map Pattern Vectors, Fisher Discriminant, Non-Linear Versions, Support Vector Regression, Loss Function, Empirical Risk
Showing pages  1  -  2  of  135
We have been discussing SVM method for learning
classifiers.
PR NPTEL course – p.1/135
We have been discussing SVM method for learning
classifiers.
The basic idea is to transform the feature space and
learn a linear classifier in the new space.
PR NPTEL course – p.2/135
The preview of this document ends here! Please or to read the full document or to download it.
Document information
Embed this document:
Docsity is not optimized for the browser you're using. In order to have a better experience please switch to Google Chrome, Firefox, Internet Explorer 9+ or Safari! Download Google Chrome