Advertisement
Published in:
2019 | OriginalPaper | Chapter
8. Support Vector Machine
Author : Dr. Dengsheng Zhang
Published in: Fundamentals of Image Data Mining
Publisher: Springer International Publishing
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
This chapter covers another major and powerful machine learning tool which is SVM. The chapter begins with the introduction of linear classifier, K-NN classifier, and perceptron which are the key to understand discriminative approaches such as SVM and ANN. After these preparations, the primal form SVM is formally introduced. It then goes on to transform primal form SVM to dual form SVM with detailed explanation and justification. In the next, kernel SVM is formally defined and techniques of building new kernels are described in details. For computation purpose, the kernel trick is introduced and an application of SVM using PMK is also demonstrated. The chapter concludes with three fusion techniques to build multi-class SVM classifiers.