Titlebook: Decision Trees with Hypotheses; Mohammad Azad,Igor Chikalov,Beata Zielosko Book 2022 The Editor(s) (if applicable) and The Author(s), unde

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https://doi.org/10.1007/978-3-030-36721-3logarithm or linearly, and the minimum depth of decision trees of types 2 and 3 either is bounded from above by a constant or grows as a logarithm, or linearly. Based on these results, we divide the set of all infinite binary information systems into four complexity classes.

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https://doi.org/10.1007/978-3-030-14524-8is bounded from above by a constant or grows as a logarithm, or linearly. Based on these results and results obtained in Chap. . for attributes and arbitrary hypotheses, we divide the set of all infinite binary information systems into seven complexity classes.

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Infinite Binary Information Systems. Decision Trees of?Types 1, 2, and?3logarithm or linearly, and the minimum depth of decision trees of types 2 and 3 either is bounded from above by a constant or grows as a logarithm, or linearly. Based on these results, we divide the set of all infinite binary information systems into four complexity classes.

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