what is the fundamental difference between SVM and polyhedral portioning?
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
what is the fundamental difference between SVM and polyhedral portioning?
2 comentarios
Ashu
el 5 de Sept. de 2022
Can you please clarify more on polyhderal portioning, and in what context are you asking?
Respuestas (1)
Ashu
el 5 de Sept. de 2022
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!
0 comentarios
Ver también
Categorías
Más información sobre Statistics and Machine Learning Toolbox en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!