Fenrier Lab

# Fundamentals in Support Vector Machine Algorithm

Let’ talk something about machine learning, it’s inspired by the course of Pro.Andrew Ng. Consider the following training set which contains elements belong to two different types $S = \{(x^{(i)}, y_i )\,\mid i = 1,,,n\}$ where $$x^{(i)}$$’s are feature points in d-dimensions, and we use $$y \in \{1,-1\}$$ to denote the class labels. To...