Monthly Archives: June 2017

Support Vector Machine

Note: this post meant to help clarify the tutorial question number 2  for COMP 9417 РWeek 9, School of Computer Science and Engineering, UNSW (s1 Р2017)

Support Vector Machine

Support Vector Machine (SVM) is essentially an approach to learning linear classifiers  which enables SVM to maximising the margin. Here is the picture, inspired by Flach РFig. 7.6 Р7.7, that shows the difference between decision boundary produced by SVM, and other linear classifiers (such as: linear regression or perceptron).

To achieve that, SVM utilise below objective function, which attempts to find the values of \alpha_1,...,\alpha_n that maximise the function.

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