Abstract
The earliest attempts to predict an example’s class based on the known 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 as the one addressed in this book.
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Notes
- 1.
We assume here that 100 is the maximum value observed in the training set. Alternatively, our background knowledge may inform us that the given attribute’s value cannot exceed 100.
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Kubat, M. (2017). Probabilities: Bayesian Classifiers. In: An Introduction to Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-319-63913-0_2
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DOI: https://doi.org/10.1007/978-3-319-63913-0_2
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