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http://www.ntu.edu.sg/home/ELPWang/PDF_web/05_SVM_basic.pdf
The support vector machine (SVM) is a supervised learning method that generates input-output mapping functions from a set of labeled training data. The mapping function can be either a classification function, i.e., the cate-
https://www.datasciencecentral.com/profiles/blogs/real-life-applications-of-support-vector-machines
Aug 17, 2017 · Applications of SVM in Real World SVMs depends on supervised learning algorithms. The aim of using SVM is to correctly classify unseen data. SVMs have a number of applications in several fields. Some common applications of SVM are-
https://www.springer.com/gp/book/9783319022994
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence.
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