Object detection using feature subset selection

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Churn in Social Networks (2010, background): “Similarly to decision trees, genetic algorithms use fitness functions [63, 14] and neural networks [47, 65] several epochs and hidden layers to select features during the training phase.”
Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2006, methodology): “Inthe literature there are two known general approaches to solve the feature selection problem: The ﬁlter approach and the wrapper approach (Sun, Bebis, & Miller, 2004).”
Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019) (2021, background): “The examples for exponential search strategy are exhaustive search, branch and bound method [19], [20].”
On-road vehicle detection: a review (2006, background): “Recently, a few efforts have been reported in the literature addressing this issue in the context of vehicle detection [76], [96], [97], [98].”
Computer assisted customer churn management: State-of-the-art and future trends (2007, background): “A predictive model is defined as one that takes patterns that have been discovered in the database, and predicts the future [23].”