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Dimensionality reduction algorithms help reduce the classification time and sometimes the classification error. For time critical applications, in order to have reduction in the feature acquisition phase, feature selection is preferable to dimensionality reduction, which requires measurement of all inputs. Traditional feature selection methods, such as forward or backward selection, are costly to...
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.