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Feature selection plays an important role in pattern classification. Its purpose is to remove redundant features from data set as many as possible. The presence of useless features may not only deteriorate the performance of learning algorithms, but also obscure important information (e.g., intrinsic structure) behind data. Along with new and emerging techniques, data sets in many domains are becoming...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.