Probabilities: Bayesian Classifiers

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Abstract

The earliest attempts to predict an example’s class from the knowledge of its attribute values go back to well before World War II—prehistory, by the standards of computer science. Of course, nobody used the term “machine learning,” in those days, but the goal was essentially the same.

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Notes

  1. 1.

    We assume here that 100 is the maximum value observed in the training set.

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Correspondence to Miroslav Kubat .

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Kubat, M. (2021). Probabilities: Bayesian Classifiers. In: An Introduction to Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-81935-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-81935-4_2

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  • Publisher Name: Springer, Cham

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