Seonglae ChoKernel Trick
The input data is mapped to a higher-dimensional space to enable modeling with linear functions, using inner product operations in the mapped space to calculate linear functions. By doing this, non-linear problems are solved. For Non-separable case, kernel mapping increase the likelihood to find linearly separable but cannot guarantee it.
Data → Feature Map → Kernel → Linear Classifier → Linear Combination
Kernel Method Notion
Kernel Methods