Feature Selection Extraction and Construction

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AutoML: A Survey of the State-of-the-Art (2019, background): “Feature extraction and construction are the variants of feature transformation through which a new set of features is created [74].”
A survey of feature selection and feature extraction techniques in machine learning (2014, methodology): “Feature extraction and selection methods are used isolated or in combination with the aim to improve performance such as estimated accuracy, visualization and comprehensibility of learned knowledge [2].”
A survey of deep learning-based network anomaly detection (2017, background): “Then, a joint distribution, p(v, h) over the visible and hidden layers can be defined as [17,18,30]:”