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Understanding Support Vector Machines by luongvinhtuong555 is a document available to read on EtoBox.
What is Understanding Support Vector Machines about?
The document discusses Support Vector Machines (SVM), focusing on their application in two-class classification problems with linearly separable data. It highlights key concepts such as distance from a point to a hyperplane, the importance of equal and largest margins, and the optimization problem involved in training SVMs. The content is presented by Pham Viet Cuong from the Department of Control Engineering & Automation at Ho Chi Minh City University of Technology.
- Author
- luongvinhtuong555
- Language
- EN