An Introduction to Variable and Feature Selection.

Variable and feature selection have become the focus of much research in areas of application for which datasets with tens or hundreds of thousands of variables are available.

Sure IndependenceScreening for Ultrahigh…Sure Independence Screening for Ultrahigh Dimensional Feature SpaceHuman Behavior CognitionUsing Smartphone SensorsHuman Behavior Cognition Using Smartphone SensorsAdversarial FeatureSelection Against…Adversarial Feature Selection Against Evasion AttacksComparison of a logisticregression and Naïve…Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset sizeAn up-to-date comparisonof state-of-the-art…An up-to-date comparison of state-of-the-art classification algorithmsFeature selection withmulti-view data: A…Feature selection with multi-view data: A surveyExploiting CombinationEffect for Unsupervised…Exploiting Combination Effect for Unsupervised Feature Selection by ℓ2, 0 NormHyperparameteroptimization in learnin…Hyperparameter optimization in learning systemsChannel Selection Methodfor EEG Emotion…Channel Selection Method for EEG Emotion Recognition Using Normalized Mutual InformationApplication of WearableBiosensors to…Application of Wearable Biosensors to Construction Sites. I: Assessing Workers’ StressRobust neighborhoodembedding for…Robust neighborhood embedding for unsupervised feature selectionMachine learning in theprediction of depressio…Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysisAn Introduction toVariable and Feature…An Introduction to Variable and Feature Selection.Focus paperCiting papersOlderNewer

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