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The document discusses Support Vector Machines (SVM) and the concept of the maximal margin classifier, which identifies the hyperplane that maximizes the margin between two classes. It explains the construction of a maximal margin classifier and introduces the support vector classifier, which allows for some misclassifications to improve robustness. Additionally, the document covers the use of kernels to handle non-linear class boundaries in SVMs, enabling the transformation of the feature space for better

Author

shindeanand587

Language

EN