It’s a supervised learning algorithm that is mainly used to classify data into different classes. SVM trains on a set of label data. The main advantage of SVM is that it can be used for both ...

A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an ...

Currently, misleading findings during data mining are mostly caused by the dirty data including that caused by mistakes of inconsistent examples. A reduction-based algorithm for helping us to check ...