Dynamic Instance-Wise Classification in Correlated Feature Spaces

In a typical supervised machine learning setting, the predictions on all test instances are based on a common subset of features discovered during model training. However, using a different subset of features that is most informative for each test instance individually may improve not only the predi...

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Veröffentlicht in:	IEEE transactions on artificial intelligence 2021-12, Vol.2 (6), p.537-548
Hauptverfasser:	Liyanage, Yasitha Warahena, Zois, Daphney-Stavroula, Chelmis, Charalampos
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes methods Bayesian network Classification correlated features costly features Costs Data models datumwise feature selection and classification Feature extraction Sequential analysis sequential feature selection Training data
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