What is the default kernel function in SVM? Can other kernel functions be used? Provide examples of other kernel functions.
Monday, 07 August 2023
by EITCA Academy
The default kernel function in Support Vector Machines (SVM) is the Radial Basis Function (RBF) kernel, also known as the Gaussian kernel. The RBF kernel is widely used due to its ability to capture complex non-linear relationships between data points. It is defined as: K(x, y) = exp(-gamma * ||x – y||^2) Here, x and
How does the polynomial kernel allow us to avoid explicitly transforming the data into the higher-dimensional space?
Monday, 07 August 2023
by EITCA Academy
The polynomial kernel is a powerful tool in support vector machines (SVMs) that allows us to avoid the explicit transformation of data into a higher-dimensional space. In SVMs, the kernel function plays a important role by implicitly mapping the input data into a higher-dimensional feature space. This mapping is done in a way that preserves