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What is Support Vector Machine - Wikipedia about?
Support Vector Machines (SVMs) are supervised learning models used for classification and regression, utilizing the kernel trick to perform non-linear classification by mapping data into higher-dimensional spaces. They are resilient to noisy data and can be applied to various tasks, including text categorization, image classification, and biological data analysis. SVMs were developed by Vladimir Vapnik and others, with key advancements made in the 1990s, leading to the popular soft-margin SVM that accommoda
- Author
- Stone Ban
- Language
- EN