Overview of Support Vector Machines (SVM) SVM is a supervised machine learning algorithm used for classification and regression tasks. It works by finding a hyperplane that best separates different ...

In this classification example, X inputs are HOG features extracted from images (in another function) and Y targets their also extracted labels. The labels are initially strings (a list of strings) ...

Predicting one class out of two classes is the reason to consider classification as binary classification. In one of our articles , we have discussed that a support vector machine is the most used ...

Abstract: In order to overcome some shortages of SVM, an improved classification model is introduced in this paper. For the first problem about isolated points or noises mixed in training data sets ...