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Machine learning and. In machine learning and statistics, feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. Feature selection techniques are used for three reasons:
This tutorial describes about how to select multiple items in a ListView/GridView with search criteria in Silverlight/WPF using MVVM design pattern. When your ListView/GridView has large amount of data, it is bit difficult to find out and select the required items. In this case you can select the items by using the filter criteria. Note: When you select the items in ListView by using filter criteria, selection state of the items has to be retained even when you clear the filter. 1) Create a new WPF/Silverlight Project and add the TextBox and ListView Controls to .XAML file as below.