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L12: SVMS: C. V. Jawahar by kkanishk371 is a document available to read on EtoBox.
What is L12: SVMS: C. V. Jawahar about?
The document discusses Support Vector Machines (SVMs) and their mathematical formulations, including the concepts of margin maximization and the dual problem. It outlines the training and testing processes, the role of support vectors, and the introduction of slack variables for non-separable cases. Additionally, it touches on kernel functions that allow SVMs to operate in high-dimensional spaces without explicitly mapping data points.
- Author
- kkanishk371
- Language
- EN