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There is currently a surge of interest in adaptive learning algorithms for applications ranging from ozone level peak predictions, learning stock market indicators, and detecting smart phone usage patterns. In such scenarios, the detection of change (or drift) in the concept being learned is important to ensure that correct, timely and relevant models are constructed. In addition, such data is often...
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.