发明申请
US20050131847A1 Pre-processed feature ranking for a support vector machine 失效
支持向量机的预处理功能排名

Pre-processed feature ranking for a support vector machine
摘要:
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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