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What is Optimizing Multi-Class SVM Kernels about?

This document summarizes research into optimizing multi-class support vector machine (SVM) classification through empirical study of kernel functions. The researcher tested different kernel functions on three datasets from a machine learning database to determine which achieved the best classification accuracy for multi-class SVM. Gaussian kernels are commonly used by default, but the experimental results showed Gaussian kernels did not always produce the highest generalization and that the best kernel func

Author

Anonymous lPvvgiQjR

Language

EN