Support vector machines (SVM)have a solid mathematical foundation in statistical learning theory,but are too complex for use in real-world applications.

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Quizplus · Accepted Answer

SVMs have been successfully used in many real-world applications, such as image classification, text classification, and speech recognition. While they can be more complex than some other machine learning models, such as decision trees, they are still widely used and have been proven to be effective.

Support Vector Machines (SVM)have a Solid Mathematical Foundation in Statistical