Pre-processed feature ranking for a support vector machine page

Pre-processed feature ranking for a support vector machine

Features are preprocessed (204) to minimize classification error in a Support Vector Machines (200) used to identify patterns in large databases. Pre-processing (204) is performed to constrain features used to train (210) the SVM learning machine. Live data (226) is collected and processed (232) with SVM.

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