what is the fundamental difference between SVM and polyhedral portioning?

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what is the fundamental difference between SVM and polyhedral portioning?

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Ashu
Ashu 2022-9-5
Hello Sekar,
SVM (Support Vector Machine) : Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection.
For detailed explanation about all the techniques, please refer to the following link : https://www.mathworks.com/discovery/support-vector-machine.html?s_tid=srchtitle_svm_2
I assume you are asking about Polyhedral Compilation.
Polyhedral Compilation: It encompasses the compilation techniques that rely on the representation of programs, especially those involving nested loops and arrays.
Hope this helps!

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