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Supervised Classification Problems – Taxonomy of Dimensions and Notation for Problems Identification
2021
IEEE Access
The paper proposes a taxonomy for categorizing the main features of the supervised learning classification problems and a notation for the identification of the supervised learning classification problem categories. The proposed taxonomy has been based on the review and analysis of the recent literature. It allowed the construction of the landscape of decision problem factors influencing the supervised learning processes. To enable a concise and coherent identification of supervised
doi:10.1109/access.2021.3125622
fatcat:monqkucrebccnmfjscs7ytoa44