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SVM Example Problems and Solutions by Karishma Jani is a document available to read on EtoBox.

This document provides two example problems involving support vector machines (SVMs). The first problem involves classifying a training set of 8 points in R^2 into two classes and finding the optimal separating hyperplane. The second problem shows that a given kernel implicitly maps data from R^2 to R^5 feature space.

Author
Karishma Jani
Language
EN